{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "54a98690-91a8-43b9-9abf-6fe0aa165fbc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导入相关的包\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "64d286c8-aace-4b2c-95f4-a301e8e540f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.preprocessing import MinMaxScaler, StandardScaler\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.neighbors import KNeighborsRegressor"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6de20604-20f8-4f19-a973-100f0eebecdc",
   "metadata": {},
   "source": [
    "## 导入Boston数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9669aa8d-807d-443c-a0d0-9821e05e5a34",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "ImportError",
     "evalue": "\n`load_boston` has been removed from scikit-learn since version 1.2.\n\nThe Boston housing prices dataset has an ethical problem: as\ninvestigated in [1], the authors of this dataset engineered a\nnon-invertible variable \"B\" assuming that racial self-segregation had a\npositive impact on house prices [2]. Furthermore the goal of the\nresearch that led to the creation of this dataset was to study the\nimpact of air quality but it did not give adequate demonstration of the\nvalidity of this assumption.\n\nThe scikit-learn maintainers therefore strongly discourage the use of\nthis dataset unless the purpose of the code is to study and educate\nabout ethical issues in data science and machine learning.\n\nIn this special case, you can fetch the dataset from the original\nsource::\n\n    import pandas as pd\n    import numpy as np\n\n    data_url = \"http://lib.stat.cmu.edu/datasets/boston\"\n    raw_df = pd.read_csv(data_url, sep=\"\\s+\", skiprows=22, header=None)\n    data = np.hstack([raw_df.values[::2, :], raw_df.values[1::2, :2]])\n    target = raw_df.values[1::2, 2]\n\nAlternative datasets include the California housing dataset and the\nAmes housing dataset. You can load the datasets as follows::\n\n    from sklearn.datasets import fetch_california_housing\n    housing = fetch_california_housing()\n\nfor the California housing dataset and::\n\n    from sklearn.datasets import fetch_openml\n    housing = fetch_openml(name=\"house_prices\", as_frame=True)\n\nfor the Ames housing dataset.\n\n[1] M Carlisle.\n\"Racist data destruction?\"\n<https://medium.com/@docintangible/racist-data-destruction-113e3eff54a8>\n\n[2] Harrison Jr, David, and Daniel L. Rubinfeld.\n\"Hedonic housing prices and the demand for clean air.\"\nJournal of environmental economics and management 5.1 (1978): 81-102.\n<https://www.researchgate.net/publication/4974606_Hedonic_housing_prices_and_the_demand_for_clean_air>\n",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mImportError\u001b[0m                               Traceback (most recent call last)",
      "Input \u001b[1;32mIn [9]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msklearn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdatasets\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m load_boston\n",
      "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\datasets\\__init__.py:157\u001b[0m, in \u001b[0;36m__getattr__\u001b[1;34m(name)\u001b[0m\n\u001b[0;32m    108\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mload_boston\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m    109\u001b[0m     msg \u001b[38;5;241m=\u001b[39m textwrap\u001b[38;5;241m.\u001b[39mdedent(\u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[0;32m    110\u001b[0m \u001b[38;5;124m        `load_boston` has been removed from scikit-learn since version 1.2.\u001b[39m\n\u001b[0;32m    111\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    155\u001b[0m \u001b[38;5;124m        <https://www.researchgate.net/publication/4974606_Hedonic_housing_prices_and_the_demand_for_clean_air>\u001b[39m\n\u001b[0;32m    156\u001b[0m \u001b[38;5;124m        \u001b[39m\u001b[38;5;124m\"\"\"\u001b[39m)\n\u001b[1;32m--> 157\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mImportError\u001b[39;00m(msg)\n\u001b[0;32m    158\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m    159\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mglobals\u001b[39m()[name]\n",
      "\u001b[1;31mImportError\u001b[0m: \n`load_boston` has been removed from scikit-learn since version 1.2.\n\nThe Boston housing prices dataset has an ethical problem: as\ninvestigated in [1], the authors of this dataset engineered a\nnon-invertible variable \"B\" assuming that racial self-segregation had a\npositive impact on house prices [2]. Furthermore the goal of the\nresearch that led to the creation of this dataset was to study the\nimpact of air quality but it did not give adequate demonstration of the\nvalidity of this assumption.\n\nThe scikit-learn maintainers therefore strongly discourage the use of\nthis dataset unless the purpose of the code is to study and educate\nabout ethical issues in data science and machine learning.\n\nIn this special case, you can fetch the dataset from the original\nsource::\n\n    import pandas as pd\n    import numpy as np\n\n    data_url = \"http://lib.stat.cmu.edu/datasets/boston\"\n    raw_df = pd.read_csv(data_url, sep=\"\\s+\", skiprows=22, header=None)\n    data = np.hstack([raw_df.values[::2, :], raw_df.values[1::2, :2]])\n    target = raw_df.values[1::2, 2]\n\nAlternative datasets include the California housing dataset and the\nAmes housing dataset. You can load the datasets as follows::\n\n    from sklearn.datasets import fetch_california_housing\n    housing = fetch_california_housing()\n\nfor the California housing dataset and::\n\n    from sklearn.datasets import fetch_openml\n    housing = fetch_openml(name=\"house_prices\", as_frame=True)\n\nfor the Ames housing dataset.\n\n[1] M Carlisle.\n\"Racist data destruction?\"\n<https://medium.com/@docintangible/racist-data-destruction-113e3eff54a8>\n\n[2] Harrison Jr, David, and Daniel L. Rubinfeld.\n\"Hedonic housing prices and the demand for clean air.\"\nJournal of environmental economics and management 5.1 (1978): 81-102.\n<https://www.researchgate.net/publication/4974606_Hedonic_housing_prices_and_the_demand_for_clean_air>\n"
     ]
    }
   ],
   "source": [
    "from sklearn.datasets import load_boston"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d52e3aa-34f5-4656-8372-f540ae742d76",
   "metadata": {},
   "source": [
    "直接导入会失败，原因是scikit-learn库把它删掉了，所以可以用下面这个代码去下载"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "76014411-0913-424b-8dd9-3941c892b929",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_url = \"http://lib.stat.cmu.edu/datasets/boston\"\n",
    "raw_df = pd.read_csv(data_url, sep=\"\\s+\", skiprows=22, header=None)\n",
    "data = np.hstack([raw_df.values[::2, :], raw_df.values[1::2, :2]])\n",
    "target = raw_df.values[1::2, 2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c96999a8-10c5-4cb4-9cd8-87f4cd7be680",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[6.3200e-03, 1.8000e+01, 2.3100e+00, ..., 1.5300e+01, 3.9690e+02,\n",
       "        4.9800e+00],\n",
       "       [2.7310e-02, 0.0000e+00, 7.0700e+00, ..., 1.7800e+01, 3.9690e+02,\n",
       "        9.1400e+00],\n",
       "       [2.7290e-02, 0.0000e+00, 7.0700e+00, ..., 1.7800e+01, 3.9283e+02,\n",
       "        4.0300e+00],\n",
       "       ...,\n",
       "       [6.0760e-02, 0.0000e+00, 1.1930e+01, ..., 2.1000e+01, 3.9690e+02,\n",
       "        5.6400e+00],\n",
       "       [1.0959e-01, 0.0000e+00, 1.1930e+01, ..., 2.1000e+01, 3.9345e+02,\n",
       "        6.4800e+00],\n",
       "       [4.7410e-02, 0.0000e+00, 1.1930e+01, ..., 2.1000e+01, 3.9690e+02,\n",
       "        7.8800e+00]])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f9defeaa-1040-4db8-99ab-7817173bd4c0",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([24. , 21.6, 34.7, 33.4, 36.2, 28.7, 22.9, 27.1, 16.5, 18.9, 15. ,\n",
       "       18.9, 21.7, 20.4, 18.2, 19.9, 23.1, 17.5, 20.2, 18.2, 13.6, 19.6,\n",
       "       15.2, 14.5, 15.6, 13.9, 16.6, 14.8, 18.4, 21. , 12.7, 14.5, 13.2,\n",
       "       13.1, 13.5, 18.9, 20. , 21. , 24.7, 30.8, 34.9, 26.6, 25.3, 24.7,\n",
       "       21.2, 19.3, 20. , 16.6, 14.4, 19.4, 19.7, 20.5, 25. , 23.4, 18.9,\n",
       "       35.4, 24.7, 31.6, 23.3, 19.6, 18.7, 16. , 22.2, 25. , 33. , 23.5,\n",
       "       19.4, 22. , 17.4, 20.9, 24.2, 21.7, 22.8, 23.4, 24.1, 21.4, 20. ,\n",
       "       20.8, 21.2, 20.3, 28. , 23.9, 24.8, 22.9, 23.9, 26.6, 22.5, 22.2,\n",
       "       23.6, 28.7, 22.6, 22. , 22.9, 25. , 20.6, 28.4, 21.4, 38.7, 43.8,\n",
       "       33.2, 27.5, 26.5, 18.6, 19.3, 20.1, 19.5, 19.5, 20.4, 19.8, 19.4,\n",
       "       21.7, 22.8, 18.8, 18.7, 18.5, 18.3, 21.2, 19.2, 20.4, 19.3, 22. ,\n",
       "       20.3, 20.5, 17.3, 18.8, 21.4, 15.7, 16.2, 18. , 14.3, 19.2, 19.6,\n",
       "       23. , 18.4, 15.6, 18.1, 17.4, 17.1, 13.3, 17.8, 14. , 14.4, 13.4,\n",
       "       15.6, 11.8, 13.8, 15.6, 14.6, 17.8, 15.4, 21.5, 19.6, 15.3, 19.4,\n",
       "       17. , 15.6, 13.1, 41.3, 24.3, 23.3, 27. , 50. , 50. , 50. , 22.7,\n",
       "       25. , 50. , 23.8, 23.8, 22.3, 17.4, 19.1, 23.1, 23.6, 22.6, 29.4,\n",
       "       23.2, 24.6, 29.9, 37.2, 39.8, 36.2, 37.9, 32.5, 26.4, 29.6, 50. ,\n",
       "       32. , 29.8, 34.9, 37. , 30.5, 36.4, 31.1, 29.1, 50. , 33.3, 30.3,\n",
       "       34.6, 34.9, 32.9, 24.1, 42.3, 48.5, 50. , 22.6, 24.4, 22.5, 24.4,\n",
       "       20. , 21.7, 19.3, 22.4, 28.1, 23.7, 25. , 23.3, 28.7, 21.5, 23. ,\n",
       "       26.7, 21.7, 27.5, 30.1, 44.8, 50. , 37.6, 31.6, 46.7, 31.5, 24.3,\n",
       "       31.7, 41.7, 48.3, 29. , 24. , 25.1, 31.5, 23.7, 23.3, 22. , 20.1,\n",
       "       22.2, 23.7, 17.6, 18.5, 24.3, 20.5, 24.5, 26.2, 24.4, 24.8, 29.6,\n",
       "       42.8, 21.9, 20.9, 44. , 50. , 36. , 30.1, 33.8, 43.1, 48.8, 31. ,\n",
       "       36.5, 22.8, 30.7, 50. , 43.5, 20.7, 21.1, 25.2, 24.4, 35.2, 32.4,\n",
       "       32. , 33.2, 33.1, 29.1, 35.1, 45.4, 35.4, 46. , 50. , 32.2, 22. ,\n",
       "       20.1, 23.2, 22.3, 24.8, 28.5, 37.3, 27.9, 23.9, 21.7, 28.6, 27.1,\n",
       "       20.3, 22.5, 29. , 24.8, 22. , 26.4, 33.1, 36.1, 28.4, 33.4, 28.2,\n",
       "       22.8, 20.3, 16.1, 22.1, 19.4, 21.6, 23.8, 16.2, 17.8, 19.8, 23.1,\n",
       "       21. , 23.8, 23.1, 20.4, 18.5, 25. , 24.6, 23. , 22.2, 19.3, 22.6,\n",
       "       19.8, 17.1, 19.4, 22.2, 20.7, 21.1, 19.5, 18.5, 20.6, 19. , 18.7,\n",
       "       32.7, 16.5, 23.9, 31.2, 17.5, 17.2, 23.1, 24.5, 26.6, 22.9, 24.1,\n",
       "       18.6, 30.1, 18.2, 20.6, 17.8, 21.7, 22.7, 22.6, 25. , 19.9, 20.8,\n",
       "       16.8, 21.9, 27.5, 21.9, 23.1, 50. , 50. , 50. , 50. , 50. , 13.8,\n",
       "       13.8, 15. , 13.9, 13.3, 13.1, 10.2, 10.4, 10.9, 11.3, 12.3,  8.8,\n",
       "        7.2, 10.5,  7.4, 10.2, 11.5, 15.1, 23.2,  9.7, 13.8, 12.7, 13.1,\n",
       "       12.5,  8.5,  5. ,  6.3,  5.6,  7.2, 12.1,  8.3,  8.5,  5. , 11.9,\n",
       "       27.9, 17.2, 27.5, 15. , 17.2, 17.9, 16.3,  7. ,  7.2,  7.5, 10.4,\n",
       "        8.8,  8.4, 16.7, 14.2, 20.8, 13.4, 11.7,  8.3, 10.2, 10.9, 11. ,\n",
       "        9.5, 14.5, 14.1, 16.1, 14.3, 11.7, 13.4,  9.6,  8.7,  8.4, 12.8,\n",
       "       10.5, 17.1, 18.4, 15.4, 10.8, 11.8, 14.9, 12.6, 14.1, 13. , 13.4,\n",
       "       15.2, 16.1, 17.8, 14.9, 14.1, 12.7, 13.5, 14.9, 20. , 16.4, 17.7,\n",
       "       19.5, 20.2, 21.4, 19.9, 19. , 19.1, 19.1, 20.1, 19.9, 19.6, 23.2,\n",
       "       29.8, 13.8, 13.3, 16.7, 12. , 14.6, 21.4, 23. , 23.7, 25. , 21.8,\n",
       "       20.6, 21.2, 19.1, 20.6, 15.2,  7. ,  8.1, 13.6, 20.1, 21.8, 24.5,\n",
       "       23.1, 19.7, 18.3, 21.2, 17.5, 16.8, 22.4, 20.6, 23.9, 22. , 11.9])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "target"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80708467-a019-4002-81d1-c065902f0bc7",
   "metadata": {},
   "source": [
    "Boston数据集的介绍如下：\n",
    "\n",
    "Boston house prices dataset\n",
    "\n",
    "\n",
    "---------------------------\n",
    "\n",
    "**Data Set Characteristics:**  \n",
    "\n",
    "    :Number of Instances: 506 \n",
    "\n",
    "    :Number of Attributes: 13 numeric/categorical predictive. Median Value (attribute 14) is usually the target.\n",
    "\n",
    "    :Attribute Information (in order):\n",
    "        - CRIM     per capita crime rate by town\n",
    "        - ZN       proportion of residential land zoned for lots over 25,000 sq.ft.\n",
    "        - INDUS    proportion of non-retail business acres per town\n",
    "        - CHAS     Charles River dummy variable (= 1 if tract bounds river; 0 otherwise)\n",
    "        - NOX      nitric oxides concentration (parts per 10 million)\n",
    "        - RM       average number of rooms per dwelling\n",
    "        - AGE      proportion of owner-occupied units built prior to 1940\n",
    "        - DIS      weighted distances to five Boston employment centres\n",
    "        - RAD      index of accessibility to radial highways\n",
    "        - TAX      full-value property-tax rate per $10,000\n",
    "        - PTRATIO  pupil-teacher ratio by town\n",
    "        - B        1000(Bk - 0.63)^2 where Bk is the proportion of black people by town\n",
    "        - LSTAT    % lower status of the population\n",
    "        - MEDV     Median value of owner-occupied homes in $1000's\n",
    "\n",
    "    :Missing Attribute Values: None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "5295925c-4575-4013-8f49-c8feb4fc1cbb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(506, 13)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2a06a385-188e-43e1-b658-afb5f96c8758",
   "metadata": {},
   "outputs": [],
   "source": [
    "feature_names = ['CRIM', 'ZN', 'INDUS', 'CHAS', 'NOX', 'RM', 'AGE', 'DIS', 'RAD', 'TAX', 'PTRATIO', 'B', 'LSTAT']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e45ca3e5-a8db-45c5-b343-da264b8fdcb0",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(data=data, columns=feature_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9bdd4e42-3c35-4d9d-80ec-cac18729b4cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.00632</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.575</td>\n",
       "      <td>65.2</td>\n",
       "      <td>4.0900</td>\n",
       "      <td>1.0</td>\n",
       "      <td>296.0</td>\n",
       "      <td>15.3</td>\n",
       "      <td>396.90</td>\n",
       "      <td>4.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.02731</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>6.421</td>\n",
       "      <td>78.9</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>17.8</td>\n",
       "      <td>396.90</td>\n",
       "      <td>9.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.02729</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>7.185</td>\n",
       "      <td>61.1</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>17.8</td>\n",
       "      <td>392.83</td>\n",
       "      <td>4.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.03237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>6.998</td>\n",
       "      <td>45.8</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>18.7</td>\n",
       "      <td>394.63</td>\n",
       "      <td>2.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.06905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>7.147</td>\n",
       "      <td>54.2</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>18.7</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.33</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      CRIM    ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD    TAX  \\\n",
       "0  0.00632  18.0   2.31   0.0  0.538  6.575  65.2  4.0900  1.0  296.0   \n",
       "1  0.02731   0.0   7.07   0.0  0.469  6.421  78.9  4.9671  2.0  242.0   \n",
       "2  0.02729   0.0   7.07   0.0  0.469  7.185  61.1  4.9671  2.0  242.0   \n",
       "3  0.03237   0.0   2.18   0.0  0.458  6.998  45.8  6.0622  3.0  222.0   \n",
       "4  0.06905   0.0   2.18   0.0  0.458  7.147  54.2  6.0622  3.0  222.0   \n",
       "\n",
       "   PTRATIO       B  LSTAT  \n",
       "0     15.3  396.90   4.98  \n",
       "1     17.8  396.90   9.14  \n",
       "2     17.8  392.83   4.03  \n",
       "3     18.7  394.63   2.94  \n",
       "4     18.7  396.90   5.33  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "74aa0358-1bc1-4de0-8e03-af94e7a47bfc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.613524</td>\n",
       "      <td>11.363636</td>\n",
       "      <td>11.136779</td>\n",
       "      <td>0.069170</td>\n",
       "      <td>0.554695</td>\n",
       "      <td>6.284634</td>\n",
       "      <td>68.574901</td>\n",
       "      <td>3.795043</td>\n",
       "      <td>9.549407</td>\n",
       "      <td>408.237154</td>\n",
       "      <td>18.455534</td>\n",
       "      <td>356.674032</td>\n",
       "      <td>12.653063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.601545</td>\n",
       "      <td>23.322453</td>\n",
       "      <td>6.860353</td>\n",
       "      <td>0.253994</td>\n",
       "      <td>0.115878</td>\n",
       "      <td>0.702617</td>\n",
       "      <td>28.148861</td>\n",
       "      <td>2.105710</td>\n",
       "      <td>8.707259</td>\n",
       "      <td>168.537116</td>\n",
       "      <td>2.164946</td>\n",
       "      <td>91.294864</td>\n",
       "      <td>7.141062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.006320</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.460000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.385000</td>\n",
       "      <td>3.561000</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>1.129600</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>187.000000</td>\n",
       "      <td>12.600000</td>\n",
       "      <td>0.320000</td>\n",
       "      <td>1.730000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.082045</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.190000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.449000</td>\n",
       "      <td>5.885500</td>\n",
       "      <td>45.025000</td>\n",
       "      <td>2.100175</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>279.000000</td>\n",
       "      <td>17.400000</td>\n",
       "      <td>375.377500</td>\n",
       "      <td>6.950000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.256510</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.690000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.538000</td>\n",
       "      <td>6.208500</td>\n",
       "      <td>77.500000</td>\n",
       "      <td>3.207450</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>19.050000</td>\n",
       "      <td>391.440000</td>\n",
       "      <td>11.360000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.677083</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>18.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.624000</td>\n",
       "      <td>6.623500</td>\n",
       "      <td>94.075000</td>\n",
       "      <td>5.188425</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>666.000000</td>\n",
       "      <td>20.200000</td>\n",
       "      <td>396.225000</td>\n",
       "      <td>16.955000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>88.976200</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>27.740000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.871000</td>\n",
       "      <td>8.780000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>12.126500</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>711.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>396.900000</td>\n",
       "      <td>37.970000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             CRIM          ZN       INDUS        CHAS         NOX          RM  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean     3.613524   11.363636   11.136779    0.069170    0.554695    6.284634   \n",
       "std      8.601545   23.322453    6.860353    0.253994    0.115878    0.702617   \n",
       "min      0.006320    0.000000    0.460000    0.000000    0.385000    3.561000   \n",
       "25%      0.082045    0.000000    5.190000    0.000000    0.449000    5.885500   \n",
       "50%      0.256510    0.000000    9.690000    0.000000    0.538000    6.208500   \n",
       "75%      3.677083   12.500000   18.100000    0.000000    0.624000    6.623500   \n",
       "max     88.976200  100.000000   27.740000    1.000000    0.871000    8.780000   \n",
       "\n",
       "              AGE         DIS         RAD         TAX     PTRATIO           B  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean    68.574901    3.795043    9.549407  408.237154   18.455534  356.674032   \n",
       "std     28.148861    2.105710    8.707259  168.537116    2.164946   91.294864   \n",
       "min      2.900000    1.129600    1.000000  187.000000   12.600000    0.320000   \n",
       "25%     45.025000    2.100175    4.000000  279.000000   17.400000  375.377500   \n",
       "50%     77.500000    3.207450    5.000000  330.000000   19.050000  391.440000   \n",
       "75%     94.075000    5.188425   24.000000  666.000000   20.200000  396.225000   \n",
       "max    100.000000   12.126500   24.000000  711.000000   22.000000  396.900000   \n",
       "\n",
       "            LSTAT  \n",
       "count  506.000000  \n",
       "mean    12.653063  \n",
       "std      7.141062  \n",
       "min      1.730000  \n",
       "25%      6.950000  \n",
       "50%     11.360000  \n",
       "75%     16.955000  \n",
       "max     37.970000  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70db3001-df23-4555-b739-3da6d6bd6ffc",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 分割数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a8d75576-7da6-433c-9aa4-a68a97668ed9",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(data, target, test_size=46, random_state=1024)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "165087a4-f1a3-43e4-a222-7903dbd5881a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(460, 13)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(46, 13)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d46c301-0982-49f7-bd93-c042a14dd20c",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 基于KNN模型（不进行标准化和归一化）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "85095ce7-ec00-442a-bd97-407ae938d475",
   "metadata": {},
   "outputs": [],
   "source": [
    "knn = KNeighborsRegressor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "3813ba42-c8a1-458b-9b37-820e1fe14fc6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-6 {color: black;}#sk-container-id-6 pre{padding: 0;}#sk-container-id-6 div.sk-toggleable {background-color: white;}#sk-container-id-6 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-6 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-6 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-6 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-6 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-6 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-6 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-6 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-6 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-6 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-6 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-6 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-6 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-6 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-6 div.sk-item {position: relative;z-index: 1;}#sk-container-id-6 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-6 div.sk-item::before, #sk-container-id-6 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-6 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-6 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-6 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-6 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-6 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-6 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-6 div.sk-label-container {text-align: center;}#sk-container-id-6 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-6 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-6\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KNeighborsRegressor()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" checked><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">KNeighborsRegressor</label><div class=\"sk-toggleable__content\"><pre>KNeighborsRegressor()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "KNeighborsRegressor()"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "1acbe620-d927-4c03-a801-f672a28957af",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = knn.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "18f69bfe-36dd-4b52-be71-ac0d536f2c78",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6750124077295723"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "af0ebafa-0b29-4445-90cd-fda95b202fbb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2968b4b05b0>]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5*2, 4*1))\n",
    "\n",
    "axes1 = plt.subplot(1, 2, 1)\n",
    "axes1.plot(np.linspace(1, 46, num=46), y_test, label='True', marker='*', markersize=6)\n",
    "axes1.plot(np.linspace(1, 46, num=46), y_pred, label='Pred', marker='o', markersize=4)\n",
    "\n",
    "axes2 = plt.subplot(1, 2, 2)\n",
    "axes2.scatter(y_pred, y_test)\n",
    "axes2.plot(np.linspace(5, 45, num=10), np.linspace(5, 45, num=10), c='r')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a7d69d1-d6cf-4ccc-85ee-4eec5c37493d",
   "metadata": {},
   "source": [
    "## 基于KNN模型（只进行归一化处理）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "ecaa1a18-092e-4fc7-874a-7938087c9332",
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = MinMaxScaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "2c1a7899-68ef-4b0e-854d-1a8ac61e5cbc",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.fit_transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "e3865c7e-6c4a-435f-b2d4-6c092edfcde0",
   "metadata": {},
   "outputs": [],
   "source": [
    "knn = KNeighborsRegressor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "c15f6bc6-e4d3-400f-908e-7555a49fb669",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-7 {color: black;}#sk-container-id-7 pre{padding: 0;}#sk-container-id-7 div.sk-toggleable {background-color: white;}#sk-container-id-7 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-7 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-7 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-7 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-7 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-7 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-7 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-7 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-7 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-7 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-7 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-7 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-7 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-7 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-7 div.sk-item {position: relative;z-index: 1;}#sk-container-id-7 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-7 div.sk-item::before, #sk-container-id-7 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-7 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-7 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-7 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-7 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-7 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-7 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-7 div.sk-label-container {text-align: center;}#sk-container-id-7 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-7 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-7\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KNeighborsRegressor()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" checked><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">KNeighborsRegressor</label><div class=\"sk-toggleable__content\"><pre>KNeighborsRegressor()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "KNeighborsRegressor()"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn.fit(X_train_scaled, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "65ddc948-5024-48ca-9efe-58baef9f92f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = knn.predict(X_test_scaled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "f7fba98f-ea44-4a65-94d8-030c133a4181",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6926947780582802"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn.score(X_test_scaled, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "72c8c53e-5753-4833-bbc2-da653593d579",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5*2, 4*1))\n",
    "\n",
    "axes1 = plt.subplot(1, 2, 1)\n",
    "axes1.plot(np.linspace(1, 46, num=46), y_test, label='True', marker='*', markersize=6)\n",
    "axes1.plot(np.linspace(1, 46, num=46), y_pred, label='Pred', marker='o', markersize=4)\n",
    "axes1.legend()\n",
    "\n",
    "axes2 = plt.subplot(1, 2, 2)\n",
    "axes2.scatter(y_pred, y_test)\n",
    "axes2.plot(np.linspace(5, 45, 10), np.linspace(5, 45, 10), c='r')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d180ebe0-530a-4ae0-8628-4c85c99c1c1a",
   "metadata": {},
   "source": [
    "## 基于KNN模型（只进行标准化处理）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "0c43519e-8b95-491b-b079-0d9609cd5220",
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = StandardScaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "73904c29-578d-4da0-943b-c90beb8f3d6f",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_tarin_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.fit_transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "b49dc73a-3293-4158-bdd1-7b0ab52f2f9a",
   "metadata": {},
   "outputs": [],
   "source": [
    "knn = KNeighborsRegressor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "28c2f9b5-3155-4986-a36c-8d71bd5a9ce8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-8 {color: black;}#sk-container-id-8 pre{padding: 0;}#sk-container-id-8 div.sk-toggleable {background-color: white;}#sk-container-id-8 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-8 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-8 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-8 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-8 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-8 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-8 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-8 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-8 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-8 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-8 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-8 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-8 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-8 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-8 div.sk-item {position: relative;z-index: 1;}#sk-container-id-8 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-8 div.sk-item::before, #sk-container-id-8 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-8 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-8 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-8 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-8 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-8 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-8 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-8 div.sk-label-container {text-align: center;}#sk-container-id-8 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-8 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-8\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KNeighborsRegressor()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-8\" type=\"checkbox\" checked><label for=\"sk-estimator-id-8\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">KNeighborsRegressor</label><div class=\"sk-toggleable__content\"><pre>KNeighborsRegressor()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "KNeighborsRegressor()"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn.fit(X_train_scaled, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "f9f26231-5e20-450a-9200-a02407583e66",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = knn.predict(X_test_scaled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "6e5f7bb2-9abe-4a76-b2b6-5d6502eb9d39",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.23672894905330977"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn.score(X_test_scaled, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "7924fd3f-66e3-4d07-9974-68bcc5ae441c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5*2, 4*1))\n",
    "\n",
    "axes1 = plt.subplot(1, 2, 1)\n",
    "axes1.plot(np.linspace(1, 46, num=46), y_test, label='True', marker='*', markersize=6)\n",
    "axes1.plot(np.linspace(1, 46, num=46), y_pred, label='Pred', marker='o', markersize=4)\n",
    "axes1.legend()\n",
    "\n",
    "axes2 = plt.subplot(1, 2, 2)\n",
    "axes2.scatter(y_pred, y_test)\n",
    "axes2.plot(np.linspace(5, 45, 10), np.linspace(5, 45, 10), c='r')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11aa1d9c-ff0d-42dc-bf96-909ef7312b19",
   "metadata": {},
   "source": [
    "## 进行特征筛选"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "cf0d6410-00fa-415a-9c8f-6ac4f95fa43e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kxI93S4DPGGMagQZgAvCO0MFtWdbPLcsaa1nWxcGf+4LLP21Z1qeD2ygDGmO2ewooj/O4XwZ+ZFnWQbcVgtsvBy4EHgI6gjc9gx08GoGDwGagJuKu/wHMws6Q/wB4xBgzO3Lbxp768BfATy3L2hVcvBs4Cqw2xuQbY94OXASUeNinRCYC+cD7gvddgh3Yb/FwXy+vr9trkui+iZ6zp/fW5fUUcbKEwcccJ0nHoQTHc6I4ExpffxHwU6ftuxwXifYzUfyKt18DicUhnu+b6Hm7SBiXXSSKnQn3exBxW0aGJQxNO8jTZ9MhjgzmOE/0nZ/o9njHo6d2ToLnHLdtmOj1crl90DEkwX4l+q5I2N4VibEEn7ST4nzfx/tOH/S5QwraZ27bdttvz+dpA9zveHEg4flnosdNcPuwj0FK/HhgjCkEzgDOsiyrAvvDvhzoSnJTzdhjTSNVYI8xdHrcJcBlwF2JNmxZVo9lWX8FpgKfMsbkYGd1H8LuSjgOGA18NeI+z1uW1WRZVodlWT8FNgDvinj8HOwuh53Av0Tcrwt7TPwV2OMyb8LuFhd1oMTuU6LnENQW/P1ty7IOW5Z1HPhG5H7FEff1TfCaxL2vh+ec8L11ez1FYqUq5hhjrjd9hfn+GFycVBwKcTqevcSZoA8Df7Usa5/DProdF4mOSdf45WG/BvQaDOC+rs/bTaK4HEei2OlpvwcYt2WYG6p2UKR4n02XODKYx4r7ne+hTRDvePTcznGJu0vw0DZMdCw73D6oGBJvvxLF5GTauyLgy3aS4/d9gu/0lJw7DLR9Fm/bcfbbU/wayH4nigNezj8TPa7b7SMlBinx482ZQDv2uE0sy3oQ2I89hjwZe4A8Y8zciGWLcR/yczF2Ear9xph64N+Aa4wxL8Z5jDxgNjAGmA58J3jQngDuIf4JhIXdZQ5jjAF+hJ3ZvSZ4sPWtaFkvWZZ1UTCTvgo7K7wpwT4lZFlWA/YBHNlN0usQiUSvb7zXJOF7k+A5x71/otdTJEZKYo5lWb+wLKss+BOavSDZOBQr8nj2Gmc+gkOvlwTHRbL7GY5fHvZrMK9BMvd1fN5Jinxe7isljp3JPmfPcVtGhKFqBzmJ+mzGiSODeqxE7Zx4t8c7HgfYzol8zheTXNsw0bGcB8xOQQyJt1+JYnKyz0nEb+0kr9/3kd/pqT538Nw+G8C2LezaOgnj1yD2+2ISxIF4cTfR4ya4PeFjDwuWDwoN+f0H+AdgY8yytUDNALb1a+wK7qXACuLPBlOCXYU99PM14AFgfPD2CdhFqMqwq5uvwq5u/p7g7a8Da7APqErgt8Avg7dVBtcvCt5+PdEzVvwvsBEoc9m3s4L3LcE+OPYBhYn2KXjfvOB978TOuhYBeRG3/yfwQnBbo7Erq3/Z433jvr4JXpNE93V8zl4eO9HrqR/9RP6kMua4bN9THPJ4PLseU8HbLwjep9xh+4nijON+kiB+edyveMfroOJMvOcdb9uJnpeH/XKNnQlez4Tvs35G9g9D1w7yEoNc40iix0pwPCb6zk90e7y2TLzbErXtXNuGHu6b6PYBxZBE+xW8PV77K+599aOf2B980k4Kruv2fV9J4rbKgM4dEh3LwXXiHXPxth13vz3EiQHtt5c4QJy4G+9xPezXiIhBQ74D2fADfAf4Qcyyi4Mf1KIE9/1f4H8j/h+DPb6yBTsz/aGY9f8IfN5lW7cRXd18PPA0EMAev7kd+ETE7Uuwq7I3AMexu8NNjLjvC9jdCQPBA+Hy4G2nYWdv27G7IYZ+ro/Y9rrgdpuD+zzHyz5FPA8r5ue2iNvzge8Gt1EPfCv0Onu4b6LXN95rkui+js850WN7eT31o5/IH1IYc1zWcf2sExGDPB7PrsdU8PbvAz932AcvccbtmHKNX0nsV7zX4DYGEWcSPG/XbSd6Xh72yzV2eng9477P+hnZPwxROyjRZ5MEccTDY8U7HhN95ye6PV5bJt5tSR2PRLQNPbxeiW4fUAxJtF/B/5cQJybHu69+9BP7g0/aScH/3b7vvbRVBnTu4CVOuB1zHrcdry0SL34Ner8jHqdfHMD9/DPR4yZ1Lub02MPhxwSfnIiIiIiIiIiIDDOq8SMiIiIiIiIiMkwp8SMiIiIiIiIiMkwp8SMiIiIiIiIiMkwp8SMiIiIiIiIiMkwp8SMiIiIiIiIiMkwp8SMiIiIiIiIiMkzlZfLBxo0bZ82YMSOTDykiKbZly5bjlmWNH+r9GAzFIpHhIdvjkWKRyPCgWCQifhAvFmU08TNjxgw2b96cyYcUkRQzxrw51PswWIpFIsNDtscjxSKR4UGxSET8IF4s0lAvEREREREREZFhSokfEREREREREZFhSokfEREREREREZFhSokfEREREREREZFhSokfEREREREREZFhSokfEREREREREZFhSokfEREREREREZFhKs/LSsaYN4AmoAfotizrXGPMGOA+YAbwBvABy7Ia0rObIiKKRSLiD4pFIuIHikUi4pWnxE/QJZZlHY/4fw3whGVZa40xa4L//8dgd+jybzzFq0dbXG8vLcjlK+9dRPXSKgBqautY99hu6gJt5BpDj2WFf1dVFnPJ/PE8uesYhwJtVJbkY1lwqq2LKZXFrF41L7wdEckaGYlFM9Y82m/ZG2uvGOxm0+aWmu386vkD4Rh43bJp3FG9aKh3S4ZI6LvxUKAtpd93yW43XfvhExmJRW6vodfX1qmdVBVn/VTGkmH+/vvesq/8mSNNneH/J5YX8PwXLnddP7YNPndCKX/+3MXp3EVJDbWLRIahs279E40dPeH/Kwpzeen2dwx4e4MZ6nUV8NPg3z8FqgexLSBx0gegpbOHm+7fRk1tHTW1ddz80HbqAm0A9FhW1O+6QBv3btxPXaANC2ho7SLQ1oUVvO3mh7ZTU1s32N0WkaGV8ljk1LiJt3yo3VKznXs37o+Kgfdu3M8tNduHeM9kKER+N6by+y7Z7aZrP3ws5bHI7TW8pWa7p9fWrZ3ktn4qY8kIfP99JTbpA3CkqZNlX/mz4/pObfBXj7Zw+TeeStcuSvqM+HaRSLaLTfoANHb0cNatfxrwNr0mfizgcWPMFmPMJ4PLJlqWdTj4dz0wccB7EZQo6RPS02ux7rHdrHtsN21dPYnv4KKtq4d1j+0e8P1FJOMyEouyza+eP5DUchnenL4bU/F9l+x207UfPpGRWOT2Gv7q+QOeXtt47SSn9VMZS4b5++97sUmfRMvd2uBe2+YyZNQuEhmGYpM+iZZ74XWo11sty6ozxkwA/myM2RV5o2VZljHGcrpjMAh9EmD69OkD3tFYh4JXr/yyHRHJCN/FIj8IXZ33ulyGN7fvtcF+3yW73XTth09kJBa5vVZux3bs+ole69jbUxlLhvn7L+IXaheJiCeeevxYllUX/H0U+C1wPnDEGDMZIPj7qMt9f2BZ1rmWZZ07fvz41Ow1MKWymCmVxSnZjohkBz/GIj/INSap5TK8uX2vDfb7Ltntpms//CBTscjttXI7tmPXT/Rax96eylgynN9/Eb9Qu0hEvEqY+DHGlBpjykN/A28HXgYeBj4aXO2jwO8GuzNzJ5R6Wi83x7B61TxWr5pHcX7ugB+vOD+X1avmDfj+IpI5mYxF2ea6ZdOSWi7Dm9N3Yyq+75Ldbrr2Y6hlMha5vYbXLZvm6bWN105yWj+VsWS4vv/ZYmJ5QVLL3drgXtvmknlqF4kMXxWFzt/dbsu98NLjZyLwV2PMNmAT8KhlWX8C1gKXG2NeBS4L/j8of/7cxQm/YEoLcvn6+xdTvbSK6qVV3Hn1IqqCV49CV6RCv6sqi7lh+XSqKosxwOiSfCqL8zHB2+68epFmlxDJHhmLRW6zVPh19oo7qhdxw/LpUTHwhuXTNavXCBX53ZjK77tkt5uu/fCBjMUit9fwjupFnl5bt3aS2/qpjCXD+P3PCs9/4fJ+SZ54s3o5tcE1q5fvqV0kMky9dPs7+iV5Bjurl7EyWAPi3HPPtTZv3pxwPU3/KeJfxpgtlmWdO9T7MRheY1E2UdyUkSjb45EfY5FiiUjyRkIsUmwQ8b94schrceeMCU3/GZoJIjT9J6DgIiLiQHFTRFJBsUREnCg2iGQ/r9O5Z8ztj+zQ9J8iIknQtMniVzW1daxYu56Zax5lxdr11NTWDfUujVhe3gvFEhFxotggkv181eOnpraOhtYux9s0/aeIZFI2dWnWtMniR7pC7B9e34tUx5JsiqMi4q7OJQa4LRcR//FVj594WePKkvwM7omIjGShk6S6QBsWfSdJfu2toGmTxY90hdg/vL4XqYwl2RZHRcRdsN675+Ui4j++SvzEu6KUwRrUIjLCZdsJq6ZNFj9STzT/8PpepDKWZFscFRF3budhOj8TyR6+SvzEu6J0qs15CJiISKpl2wmrpk0WP1JPNP/w+l6kMpZkWxwVEREZznxV42f1qnnceN9WnJLHaiiKSKZMqSx2HLfu5zhUvbRKiR7xldWr5kXVlQH1RBsqybwXqYol2RhHRcTZ6JJ8xzqso1WKQyRr+KrHT/XSKq5fPp3Y4aJqKIpIJmnolMjgqSeafwzFe6E4KjJ83HrlQvJzo8/Q8nMNt165cIj2SESS5asePwB3VC/i3NPGaBYIERkyoXijOCQyOOqJ5h+Zfi8UR0WGDx3PItnPd4kfUENRRIae4pCIyOAojooMHzqeRbKbr4Z6iYiIiIiIiIhI6viyx09NbZ26EorIkFIcEhEZHMVRkeFDx7NIdvNd4qemti5q5om6QBs3P7QdQMFFRDJCcUhEZHAUR0WGDx3PItnPd0O91j22O2q6UYC2rh7WPbZ7iPZIREYaxSERkcFRHBUZPnQ8i2Q/3yV+DgXaklouIpJqikMiIoOjOCoyfOh4Fsl+vhvqNao4n0BbV7/lUyqLh2BvRGQkmlJZTJ1DY8bPcUhj70UkWemMG9kYR0XEmY5nkcxL9Xe0r3r81NTW0dLZ3W95fo5h9ap5Q7BHIjISrV41j+L83Khlxfm5vo1DobH3dYE2LPrG3tfU1g31romIT6U7bmRbHBURdzqeRTIrHd/Rvkr8rHtsN109Vr/lZUV5unItIhlTvbSKO69eRFVlMQaoqizmzqsX+TYOaey9iCQr3XEj2+KoiLjT8SySWen4jvbVUC+3caKB1v5Dv0RE0ql6aVXWNGg09l5EkpWJuJFNcVRERMQv0vEd7aseP5Ul+UktFxERxU4RSZ7ihoh4pSHlIpnlVj9rMHW1fJX4sfqP8oq7XEREFDtFJHmKGyLilYaUi2RWOupq+Wqo1ymH2bziLRcREcVOEUme4oaIeKUh5SKZFRomncpZvXyV+HGbKlDdjkUk07JpenRNsyoiycpE3MimOCoi7tTOEMm8VNfJ89VQr9Wr5pGfa/otb27v1hhSEcmYbBvLrmlWRSRZ6Y4b2RZHRcTdJfPHJ7VcRPzHV4mf6qVVlBb074TU1WtpDKmIZEy2jWXXNKsikqx0x41si6Mi4u7JXceSWi4i/uOroV7gPrZcY0hFJFOycSy7pk0WkWSlM25kYxwVEWc6nkWyn+8SP6OK8wk4JH80hlREMkVj2UWcqWbL8JbK91dxVGT40PEskv18NdSrpraOls7ufsvzc4xqVYhIxqhmjkh/qtkyvKX6/VUcFRk+VONHJPv5KvGz7rHddPVY/ZaXFeXpiqKIZEz10iquOaeKXGMXm881hmvO0VAqGdlUs2V4qKmtY8Xa9cxc8ygr1q4PJ3ZS/f6q9pjI8KEaPyLZz1dDvZy6EAI0tDrX/RERSYea2joe3FJHj2Unonssiwe31HHuaWN8e9KiITiSbqrxkP1CvXpCCZ5Qrx5wfx/d2mZeqPaYyPDgFgcGEx9EJLN81eMndHXdibqSi0imZFvPBg3BkUxwq+WgGg/ZI15sc3sfDWqDiYx0bmdo7mduIuI3vkr8hK6uO/HrCZeIDD/Z1rMh2xJVkp1UsyX7xYttq1fNczyJs1AbTGSkcztDcz9zExG/8VXipyrOVUO/nnCJyPCTbT0bsi1RJdkpqZotlmX/iK/Ei23VS6tcT+IUS0RERLKbr2r8rF41j8/et9XxtsqS/MzujIiMWKtXzYuqgwH+7tlQWZLvWAutpCCXFWvXq+6PpIznmi0f/zicPAk1NWnfJ/EuUWwb7RJLkmmDqd6YyPBTWpBLS2eP43IRyQ6+6vFTvbSKglzn0aIdXf2DjYhIOmTbbDRuHStaOntU90eGxtNPw+OPQ5cmZ/CTRLHNLZZ47bylemMiw5PlEgTclouI//iqxw9Ap8N07gCtXb0Z3hMRGcmyaTaaU23eTq5DdX+y5XlJlmprg3377GzBjh2wZMlQ75FEiBfb3GKJ1xgTr96Y4o5I9nI7D9P5mUj28F3iR0REkjOlstjzlKqq1TGyZWQYzp49fV1Enn9eiZ8hMND32S2WeK1vpnpjIiIi/uSroV7xugJXFqvGj4iIE6fZltymWPVrgWpJv4wNw9m1y/5tjJ34kYwazPs82Jnbsq0wvoh4U5LvfMrotlxE/MdXR2u86UJve8/CDO6JiEj2cKrbcf3y6Zp6W6LEG4aTUjt32kmfSy6BTZtSu21JaDDv82Drmw02cSQi/lSQ51zE2W25iPiPr4Z6xesKrLHhIiLunOp2nHvaGM2uI2EZG4azcyfMnAkXXQS33QaNjVBRkdrHEFeDfZ8HU98sdD/FHZHhZbD1v0Rk6Pkq8eM2tlzDvEQk04bDlMTZVKBa0m+w9Vs827kTzjgDli2za/1s3gwrV6b2McRVxt5nF5FxJxRHb7xva9bGUREZ+rgiIoPnq6Feq1fNIz+nf2WKls5uTQUqIhmjKYllOMrIMJyeHru48xlnwHnn2cs03Cuj/DLcSnFUZPi4ZP74pJaLiP/4KvFTvbSKsqL+nZC6eixu+s02NRZEJCMyVgtFJIMGW7/Fk337oKPDTvyMGQNz56rAc4Zl5H32QHE0+9TU1rFi7XpmrnmUFWvXq90tYU/uOpbUchHxH18N9QIItDqPFe2xLG5+aDugej8ikl5uU6N7nTJdxK/SPvxv50779xln2L+XLYMnnrCHfBm3ueYk1fwwzFNTu2eXUA+tULIu1EML1O4WtYtEhgNf9fiB+GNFdaVIRDIh1+UE1W25iASFEj/z59u/zz8fDh+GOvUcGGk0tXt2UQ8tiUftIpHs57vEj9PY9Ei6UiQi6dZjWUktF5GgnTth4kQYPdr+f9ky+7eGe404fqk1JN6oh5bEo3aRSPbzXeInNDbdLYOsK0Uikm5VLnHGbbmIBIVm9ApZvBgKCpT4GYH8UmtIvFEPLYlH7SKR7Oe7xA/YjYWvf2CxrhSJyJDQlWqRAbAs2LUrOvFTWAhLlmhmrxGqemkVG9asZN/aK9iwZqWSPj6m7z2JR58Pkeznu+LOIaHGwbrHdnMo0MaUymJWr5qnRoOIpJ3ij8gA1NfDqVPRiR+wh3v9+Mf2VO+57kO5RWTo6HtP4tHnQyT7eU78GGNygc1AnWVZ7zbGzAR+DYwFtgAftiyrM5U754dZKUTEXzIVixR/RJIUO6NXyLJl8O1vw44dcNZZmd+vNBmKdpFIOul7LzupXSQiXiQz1OszwM6I/78K3GVZ1hygAfh4KnaopraOFWvXM3PNo6xYu56aWs0EIiJRFItE/Mgt8XP++fbv4TfcKyOxaLAUy0SGPbWLRCQhT4kfY8xU4Arg/4L/G2Al8EBwlZ8C1YPdmZraOm5+aDt1gTYsoC7Qxs0PbVdgERFAsUjE13buhPJymDIlevmcOfYsX8OowHOmYtFgKZaJDG9qF4mIV157/NwN/DvQG/x/LBCwLKs7+P9BwLHvnzHmk8aYzcaYzceOHYv7IOse201bV0/UsrauHtY9ttvjborIMHc3ikUi/hSa0St2Vk5j7F4/wyjxQ4Zi0WAplokMe3ejdpGIeJAw8WOMeTdw1LKsLQN5AMuyfmBZ1rmWZZ07fvz4uOseCrQltVxERg7FIhGfi53KPdKyZXaNn+bmzO5TGmQyFg2WYpnI8KV2kYgkw0uPnxXAe4wxb2AXClsJfBOoNMaEikNPBQbd129KZXFSy0VkRFEsEvGrU6fg8GGYP9/59mXLoLfXHgpmTPyfP/4xs/uevIzFosFSLBMZ1tQuEhHPEs7qZVnWzcDNAMaYi4F/syzremPM/cD7sAPNR4HfDXZnVq+ax80PbY/qSlicn8vqVfMGu2kRyXKKRSI+5lbYOeTyy2HdOmhqSrytOXNSt19pkMlYNFiKZSLDl9pFIpIMz9O5O/gP4NfGmDuAWuBHg92Z0BSB6x7bzaFAG1Mqi1m9ap6mDhSReBSLRIbarl32b7fET34+/Nu/ZW5/hkbKY9FgKZaJjEhqF4lIP0klfizLegp4Kvj368D5qd8lEZH4FItEfGbnTigogFmzhnpPMiobYlH10qqok7PQlMw6eRMZPrIhFonI0BpMj5+UC00VGOpGGJoqEFCjREQyRrFIJEk7d8LcuZDnq2aFxFBsE5GBUOwQyX5ep3PPCE0VKCJ+kNWxaO9eeP31od4LGWnizeglvpHVsU1Ehoxih0j281XiR1MFiogfZHUs+tCH4FOfGuq9kJGkvd1ONirx43tZHdtEZMgodohkP1/1yZ5SWUydQwDRVIEikklZG4s6O6G2FhYtGuo9keHi8GG49FJobHRfp6fHnqpdiR9fqqmtCxdkzTGGHsvqt47vY5uIDKmsbReJSJivEj+XzB/PvRv3Oy4XEcmUrI1FL78MXV3Q3DzUeyLDRW2tPYzrqqtg3Dj39UpK4J3vzNx+iSexdTmckj6akllEEsnadpGIhPkq8fPkrmOOy3+/7TB3VOsKtohkhlssclvuGy++aP9uahra/ZDh48gR+/ddd8HMmUO7L5I0p7ocALnG0GtZaZ/VK7K3kWYQE8leWdsuEpEwXyV+3MaJBtq6qKmtU2NBRDLCqTtzvOW+sWWL/VuJH0mV+nr798SJQ7sfMiBu7apey2Lf2ivS+tiaBUhk+MjadpGIhPmquHO8caKqGi8imZJrTFLLfSOU+GlutmuuyIhVU1vHirXrmbnmUVasXU9Nbd3ANlRfD+Xl9lAuyTpu7arB1OXw+tnSLEAiw0fWtotEJMxXiZ8ZY90bIqoaLyKZ4lQHI95yX+jqgpdegoIC+//W1qHdHxkyoZ4WdYE2LPp6Wgwo+VNfD5MmpXwfJTNi62/MPn6At7y5bcB1OZL5bGkWIJHhIyvbRSISxVeJn42vN7jepqrxIpIpWXll65VXoKMDli+3/x9Gw71S1ntlhEhpTwslfrJabP2N1c/+jK89enfU8mSOr2Q+W+nobSQiIiID46vET7yssWacEJFMycorW6HCzhddZP8eJomflPZeGSFS2tNCiZ+sFvuezz2+n/EtDRxqsHsEJnt8JfPZWr1qHsX5uVHLNIOYiIjI0PBV4iceFQIUkUypcrki7bbcD17/09O0FhTzjy/bV+OffGHvEO9RaqhOSPJS2tNCiZ+sFvmeF3R3cVrDYQp6u5lXZB9TbsfXTb/Z5tgDKJnPVvXSKu68ehFVlcUY7Ph559WL1J4TEREZAlmT+NHVXRHJlGy7Ul1TW8ep5zaxfcIsGgtLAbjnseHRK0Z1QpKXss9vWxs0Nirx4xcD6HEY+VmY0VBHnmUXff+3JaMB9+Oox7IcewAl+9mqXlrFhjUr2bf2CjasWamkj4iIyBDxVeKnsjjf9TZd3RWRTKleWsXZ00dFLTt7+ijfnrR84w+vML/+dXZMnE1LgX3lPa+1ZVjEzVEu3wtuyyWFPS2OHLF/K/Ez9D71KTjvvKTuUlNbF9WjZ+7xA+HbLhtr//ZyHEX2sFMvHpGRya3EoZ9LH4pItLyh3oFIsd2NI+nqrohkyi0129mw92TUsg17T3JLzXbuqF40RHvlruj1Vynu7mD7pDm05NuJn7LOtrTHzdCJ5aFAG1Mqi1m9al7KTwDV2ByY6qVVg38v6uvt30r8DL3ycti+Hbq7IS9x062mto7V92+jq7evl9CcE32Jn03P7+T8t73N83EUGUtS8tkSkazi1uHQz6UPRSSar3r8dHT3ut5WWaKruyKSGb96/kBSy4fasoZ9ALwc0eOntLMtrXEzU0WXA61dSS2XFFLixz8WLoTOTnjtNU+r3/bwjqikD8DcEwdoLCgB4Nm/7gC8H0dqg4mIiGQ3XyV+4lFGWUQyJdtm9Zp/6DXa8grZO3YqLYV24qeksy2tcTNTRZc1JfQQCiV+Jk4c2v0QO/EDsGOHp9UDbf0TOrNPHGDL1DPoxZB3/Djg/TjyaegTERERj7Im8XPKoREjIpIOuS7jH9yWD7XT6/bwyoSZ9Obk0pJfBNhDvdIZNzNVdDnbCm0PK6HEz4QJQ7sfAmecYf/2mPiJldvbw6yTB9k9fgYnSyqY3tMMOB9fTtQGExERyW6+SvyUFrg3PnR1V0Qy5bpl05JaPqR6e1l49HW2T5pj/5uTS1teIaWdbWmNm5nqiaNiskOovh7GjYP8vmE+NbV1rFi73nGqb0mj0lKYOTMq8RPvvRgdMzRrWqCewp5uXhs7jYbSSpaV9CVyivL7moJuqW21wURGNrfY4M/LYSLixFfFnZdMG9WvoGqIru6KSKaECjj/6vkD9FgWucZw3bJpvizszJ49lHS2s2Pi7PCi5oJiSrvauGT++LQ97OpV87j5oe1Rw73S1RNHxWSHSH19VH2fUF2n0HsequsE6P3JhIULw4mfRO/FrVcuZPUD2+jqscdozQ0Wdq6fMpPKGVMZ39lkF4COWAcgJ8eQA1H1gdJxXGeiMLyIpM6cCaW8erTFcbmIpEeqvyt9lfh5ziXpA2pUikhm3VG9yJ+JnlhbtgCEe/wAtBQUU9rZxm9frEvbcwjFZJ28DWMxiZ94dZ30vmfAwoXw2GPQ1ZXwvYg9Ps9pOQzAvd/4GHzyb7B5M7c/siMq6QPQ02tRVJDLhJKCtB3XSiCKZJ/XjvVP+sRbLiKDk47vSl8lflQ7UEQkSS++SEduPq+N7RuGFkr8tHT2xLnj4GWqJ456B9gy/jocOQJz54b/HUhdJ713KbRwIXR1wWuvub7mdYE2amrrwsdm+LX+yH0wdSqUl7PXlDLxwGEaXGb0aunsYcd/rkzXs1ACUSQLaTp3kcxKx3elr2r8iIj4RdbUMtmyhZ0TZtKd25fHbykooqwztUWWh0qmpo33u2Rfh0F/fi2rX4+fZOs66b1LsYiZveLV3Lnxvq3cUrM9euErr8CCBdTU1vHw4W7KOloo7O503UY636N4SSsRERFJzyQqSvyIiMTImhPW3l6oreXliPo+YPf4KelsHxZFFzM1bbzfJfM6pOTz29gI7e1RiZ9kZ1jTe5di8+eDMbBjR9zZuCzgFxv3973fvb2waxeccQbrHttNfVEFAGNbA64Plc73yC1pZUhvwklERCRbpGMSFSV+RERi+PaE9Y9/hH/5l76ff/gHaGyk9ILzo1ZrKSihrLON65dPH6IdTZ1MTRvvd8m8Din5/Iamco9I/CQ7w5reuxQrKYFZs2DHjvB74cYiInlz4AC0tMCCBRwKtHG8tBKAcS0B1/un8z1avWqeY1I6ap9FRERGsGQvtnnhqxo/IiJ+4NsT1ttvhxdfhIqKvmXTp/Pef/soW7Y1h2chaykoZjyd2VGcOoEplcWOQ0BG2vTSybwOKfn8hhI/EydGLU6mrpPeuzSImNmremkV6x7b7TpEKvx+79xp/z7jDKac7OJESSUAY1tPuT5MOt+j6qVVfPa+rY63DXmMFRER8YF0TKKiHj8iIjHS0b0yJRoa4Oqr4fjxvp8334SZM7mjehF773wXb6y9gmsvOYOKruFxApWOKx7ZKJnXISWfX4ceP8nSe5cGCxfCnj3Qadfnces9AxHv9yuv2L8XLGD1qnk0jRoLuPf4ycR7VOXXGCsiIuIT1Uur2LBmJfvWXsGGNSsHPQGCrxI/N7gMS1gxe0yG90RERjLfnrAGAlBZ6XhTZDHfn7x0Aqu5eVhMt5Hs8KLhKpnXISWf3xQkfvTepcHChdDdDa++Ctiv8fXLp/dL/kS93zt3wvjxMHas3dvmuhUAjGsNUFVZzA3Lp0e9R9ecY/ckSmdhe9/GWBFx5HaO5rZcRPzHV0O97qhexL5jzWzYezJq+Yv7T4WnJxURSbd0dK8cNMtyTfyEivmG6roctvIwlsUjf3uNKy+Y22/9bJOpaeP9zuvrkJLPb3095OXBmMFdeNF7l2IRM3uF/r6jehHnnjbG/f0OzugVcuUFc6CsjP84ewz/sSZ62vbYWBIqDA6k9H30ZYwVEVfnnjaGX206QE9v3wWl3BzDuafp4rxItvBV4gegdn+g37LBzlkvIpL12tvt4R0OiZ/YYr4t+fZwiR88ui2tiZ+a2jqduPnUoBMu9fV2fZ8cX3UMlvnz7fckWOcnxOn9vqVmO7/auJ8Xt2zjkQUXsatme1/drwkT4MiRfpuPVxg81ce2koIi2WPdY7ujkj4APb2Wzs9EsoivEj+31GyntavX8TYV/BORTKmprWP1/dvoCjZy6gJtrL5/G5Daq95JCQTs3w6Jn9j42FJgJ36aj53st26qDLZngJJG6TXo1/fIkUEN85I0KSqC2bP7JX5i3+8ZY4vZsPck45sbGNXRwqtjp3Hvxv2AfeV+dncRpza8wn+sXR/12UhHYXsd6yLZz62IvNtyERm8VH9/+irxE2qUOFHBPxHJlNse3hFO+oR09Vrc9vAOXyR+Yr8IKkvyaWjtCq8aSvycVpS+Gj9uPQNu+k3iBJkvE2vDSEqG69TXw5Qp6dpFGYyImb3Avmj2i437CR3tdYG28MnYnBN2u+rVsdMA+MXz+3lwSx3fLKxgWqC+32cjlTOx1dTWcfsjO6Jik451ERGRxNLRVs6aPtwq+CcimRJo60pqeUYEEz/PHe/m5oe2Uxdow8L+Imhu7yY/t6+8a3Mw8fPxs8albXfcegD0WBY3P7Q9bkHYeIk1Gbx4w3U8q69PSY+fyKLj6SoUPOIsXGgXd+7ooKa2jnsjkj6x5pw4AMBrwcSPZdmfheMloxjXGgCiPxupKrocSj5GJn1CdKyLiIjEl462ctYkfnRlSERGtGDi5yevBPqd1Hf1WpQW5IVn5ikdUwnAhZOL0rY78XoAhHr+uJ3k+zKxNowMerhOTw8cPWrX+BmE0Ml/ZJIyUVJQPFi40H6P9uxJ2ACce/wAjYWlHC2LLsB6vKSSMa2N5PTasST02UjVTGxOycdIOtZFRETcpaOt7KuhXiIifjA6ZuhU5PIhE0z87O1yDtun2rrYeuvb7X9eeQW+BzQ3p213Vq+aFzWcKFao5w8MIHHf3Q2/+x00NsZfr7QUrrkGcnPjrzfCDHq4zokTdmJhkD1+MlkoeESJmNkr0FYed9U5Jw7w2tipYKInfD9RWkmu1UtlezMnS0ZFfTZSUXRZdRlFRET8RYkfEZEYV5w12bHm2BVnTR6CvQkKJn5KJowDh1xL1El9efBksKkpbbsTOjG86Tfb6LGcB5q4neTHTaxZFnzyk3DPPd525PHH4fLLk9v5Yc4pKZfUcJ36evv3IBM/6SgULMC8eXayc8cOYLm9zLJY89Q9XLTvRV6sms/fpp/FizMXM/fEftbPOq/fJo6XVAIwtiVA26gxKR9O75Z8DBnSJLqIiIjPpeMidNYM9RIRyZQndx1LanlGBBM/n7hyaeIaHBlI/ICd/Pn6Bxb3259ITif5bgm0K86aDF/6kp30+fzn4Y033H9efNG+086dg3sSw9Cgh+vESfwkU7PHrYeRJmsYpMJCmDMHduwIJ0tvfuoe/mnTQ3Tk5fOeV57mOw//N89983rGtwTC9X0inSgdBcDE1lNcc07qp1V3qhUUaUiT6CIiIj4Xt608QOrxIyISw5c9FQIBKCzkPctn01tYFH96x7Iy+3eaEz+QuOeP00m+WwJt1E9/DDV3w8c/DnfcER6e4jid5ZIldoLr1VdT9lyGk0EN13FJ/CQ7W9igex6Ju4UL4eWXufWLC9nz2c/zj5se4qdnX8Gtl/0TuVYvZ9a/xqpjO5n65h7+NO+Cfnc/VjIagNEtDdz3wgF+v+0wp9q6UjbdeqK4MKRJdBEREZ9Lx0VoJX5ERGKkckrjlAkEoLIS8HBSn5cHRUVprfETKbQvXk/ynV7bt+/5G5/73bfgiivgf/83KunjmmyYO1eJn3Q4csT+HZP4SbZmT2hZ3CSlDMyCBVBTQ/VTv4FnfsZvF17CbZf9IxhDj8llz2kL+NiN1/LVx3Y7Hm+hHj/jWgN09VjhYpGJknnJqF5axWfv2+p4W7xhYCIiIiNdOi5CZ0fix7Lg4EGYOnWo90RERoDVq+bxufu20huxLCe4fMhEJH48KS/PSI+fEM8n+b29XPr6Zoo6+r64KjpauPWJH7B90hyW3HefnbgKiptsmDsXXnghfU9qpKqvh5KSvp5jQQNphCTT88ixZ5eSRM4WLoTeXvjc5/jrGW9h9Ts/Q05OLj2WRVXMa+dUhP1UURldObmMbT3Vb9OpLMBtIGqq+UWHX+WVibMgNzuanyIiIkMhHRehs+Kb99qXHqd75tXk1R+GsWOHendEZJjb/ObJqKQPQG9w+ZCdiPo88QMeT/Kfe44f3X9bv8V7x1Tx9++7lRdLS6OWx002nH463H8/dHZCQcFAd3tkaG+Hr3wFpkyBT30q/rr19XZvn5iZoNLZEy7ZYWQj3llnAfD8aWfx8Xetpjs3Dywr3Msu9JrFJmRzjKHHsrBMDidLRjGuJeC4+VQMa72lZntU0mdi03F+97PP8bl3f46ahZcMevsiIiLDVTqGy2dF4udduzeQ190Fh5X4EZH0c5rRK7T8jupFGd6boEAARo/2vn5ZWcYTP57st1/bv3vfrRwcNTG8+EDlJMaNG9Vv9bjJhqq5dq+HffvsmY7E2csvw3XX2b+nTfOe+ImRzpo9mvo9SQsWcNPf/Rd/HD2Xjry+pKfTaxaZkI1MsJ0oGcXY1oDj5lORzIuNo+NaAuRgcVrDYapU4FtERMRVOobL+z7xU9zZzvL99lU/TpwY2p0RERkqgQDMnOl9/fLyjNX4SUqwcPArM87kaG7fyZ9bAiFusqGjxF7w6qsDSvwkM7QoK4chWRZ85zuwejWMGgVXXQW/+x00NMRPItbXO76e6azZ48uC6j730MSz6F82OfHQu81vnuRXzx/geEkl41sC5EBUD0eD3eNqxdr1Kf2cV3S0ADCx+YQKfIuIiCQwqIk6HPgq8VOcn0NbV/QAixVvbqOwJziH/cmTQ7BXIiI+kGCoV2xi4iErn4l+7PFTXw+FhXz+uuWse3xPwgRC3GTDiSJ7pT17kt6NZIYWZcUwpCefhEceiV62bRusXw/vehf8+MdQW2snfl56CS66yH1b9fWut6e6ERLiy4LqPjeQ16ymto4Ht9TRY1kcL61kZsMhcnMNFQV5BNq6omry1AXauPG+rWx+82RKejpWtNuJn8lNx7nEL8eNiIjICOGrxE9Hd2xVDVi59wV6TA65Vi+1W/ey9L1DsGMiMqLEFiSNXD4kLCtu4scpMVHb0M2KtgbKM7eX3gSHEVWfPZXqs70V7HdNNowda/dcGcDMXskMLfLLMKS4vY6+8AXYtMkuyhxSXAzf/jb88z/b9XqCdWHYts098dPRYV9kcRjqlU6a+j15A3nNIj/Lx0sqGRuc1au0MI/Swrx+iSQL+MXG/Zx72pikP+uxcTTU42dSk3pvi4iIZFrOUO9ApN7YMy3L4uLXN7PhtMUAPLcp+au6IiLJun759KSWp117u13A2CXx45SYaMwrou1kIP37lqwjR1KbVBjglO7JDC3ywzCkUHKvLtCGRV+vo5raOnuF116Dj30MGhv7fo4cgX/5l74izZMnw7hxdo8fN0eP2r8znPipXlrFnVcvoqqyGANUVRZz59WL/NOjyocG8ppFJnZOlI6ipKuDks426gJtrp9nCzvGJCs2XoYSP6e1NSS9LRERERkcX/X4iXXGsX1MaTrO3Ss+xLID28lpUGNBRNIvNKzhV88foMeyyDWG65ZNG9rCzuCa+HEa7tFSUBw1Zbpv1NcnV6uIBD1d5s6FZ59NejeSGSbjh2FIcXsdzamAY8dg9uz4Gwn1+tm2zX2dI0fs3xlO/ED6hpENZ8m+ZrnBWb0AjpfYdZ7Gtp6itaDYsZdjiNPnP5HYODoqmPgpaT4FbW12jzQRERHJCF8nfi7ZuxmAJ2efy6lnyxnd7sN6FSIyLN1RvWjoEj2xEiR+Ik/mQpoLSijtbLOHiZkhG6TWX309LF/uefWE9XXmzoVf/tLuFVVU5Hm7yQyT8cMwpLi9jl5/3f4nIvHjmixbvBi+9z3o6YHc3P4bDBbfHorEjwyc1+LjkXHiRIk9i974lgYOVMZ/v3MHGEOi4uhnHocNwRvq6mDOnAFtU0RERJKXMPFjjCkCngEKg+s/YFnWrcaYmcCvgbHAFuDDlmV1DmZnYseDr9z7AtsnzuZY2RgCReWMalPiR2SkymQsAp/N4pQg8ROb9AFoLSgi1+q1r6xH1n0ZSt3dds+UJJIKCevrzJ1rJ7f27oWFCz1vN5kZqtI5m5VXcXsd7d1r/zNrFpAgWbZ4sZ0ke/VVmD+//wMlSPz46rgYIpmORYk4vd+r79/G7Y/sINDaFfU+VUV8jo6VVgJ2j59EnGKM130LfV6+++xO3hm64eBBJX5EBslvsUhE/M1LjZ8OYKVlWYuBJcA7jDHLga8Cd1mWNQdoAD4+2J2JbFZUtjWy9NBu1s8+D4CG4nImdrcM9iFEJHtlLBbV1Nax+oFtUfVUVj+wra+eSqYlSPyMLsnvt6y5IDiMwk9Tuh87Zidpkkj8JKyvM3eu/XsAdX6ql1axYc1K9q29gg1rVsZNYCSzbjqsXjWP4vzoHjrhXkcxPX7iJcvCBZ7d6vyEEj8TJ/a7KWGdoZEjY7HIC6f3u6vXoqG1q9/7FPk5OlFSCcC4lkDCxygtcOgdlkDs5yWvqZHW/EL7xroR95kRSQdfxSIR8beEiR/LFjpzyA/+WMBK4IHg8p8C1ancsYte30Ku1cuTwcTPqeJyZudGJ6trautYsXY9M9c8yoq160di41NkxMhkLLr9kR109URf4e7qsbj9kR2D3fTAJEj8OF2Mbwklfvw0pfsAhhG51dEJLx9E4iebxC3ku3cvjBkT/nzETZYtWGAP8XKr81Nfb8+UVljY76a4CaURZKjaRW68FBmP7CUX+hw1BId6jW0NJLx/S2dP0m2s2M9LRUcLr44NFnw+eDCpbcnAqJ08vA1VLMrt7Um8koj4jqdZvYwxucaYrcBR4M/AXiBgWVZ3cJWDQEovf67cu5njJaPYNtlu1AeKyhjV2hi+XVceRUaeTMWihtaupJanXYLEz6m2/vsVSvz83Tef8E+jfwCFgy+ZPz7+8spKGD9+2Cd+IE6vo717w8O8IEGyrLDQHuIVr8ePQ28f8MfsZn4xFO0iN16LjNcF2lixdj0AG9asZPfXqmkrLffU4we8z+wVSjbEDk2saG+mvnwsjYWl6vGTAWonjwyZjkU3Pnsvr3zjGucrTiLia54SP5Zl9ViWtQSYCpwPOBQGcGaM+aQxZrMxZvOxY8c83Se3t4eL9m3h6VnnYBl7F08VV8DJk+F1dOVRZOTJdCzyjQSJH6cTv5Z8e1nLiQb/NPrjDCNy8+Qu5/cqavncubBnz2D2LLu9/npUYee4w8LALvDs1OOntxc2bnSu/YOH3lcjiJ9ikdP77SY2DhwrHsU4DzV+wFuCLzLZEKu8o4XGwjJOjBqnHj8ZoHbyyJDpWNRSUExhTzclXe0D2l8RGTqeEj8hlmUFgCeBtwCVxphQceipgOPZhGVZP7As61zLss4dP975ym2spYd2UdnezPpZ54WXnXb6VLtIaZvdmNCVR5GRK1OxyDcCAbunhsusVU4nfqEeP6WdfY2zlDf6v/AF+Pznva8/gMSPp1g/d+6I6PHjqLsb3nwzKvETd1gY2HV+DhyAhobobW3caPfEuOYax4dKmFAagfwQi2Lf78rifPJz3WfhiowD9UWjPA31Aqh0qCUWyynZEFLR3kJrSRkls2Yo8ZMBaiePLJmKRYGicgAqNdOySNbxMqvXeKDLsqyAMaYYuBy7aNiTwPuwq8Z/FPhdqnZq5d4X6DY5PDtzaXjZ29+6AO7F7vVTVRV/hhMRGXaGIhb5RiDg2tsHnGedaj4WSvxEx8mUNvprauxpwf/rv7ytX18P5eVQWup5dihPsX7uXPjpT6GlBUpLB/hk4kvXbFaD3u7+/XbyJyLxA/ZnwnU7ixfbv196CS66qG/5Aw9AQQFceaXj3fwwu5kf+DEWxb7foc+V07EDds+fmWse5bullcw5vt/TY3gZ2eEWX3J6e6jobKWpqIz2ykLY/Kynx5SBUzt5+BuKWHSquAyAyrZmDlVMSNVmRcRBqtueCRM/wGTgp8aYXOweQr+xLOv3xphXgF8bY+4AaoEfDXgvYlyydzObpy6gsagsvGzTKbv/Yijxs3rVvKjpS0FXHkWGuYzHIt9IkPiB/id+V6+x6+nEJn5S2uivq7OnBu/thRwPHUjr62HSpPjTjcd8oXmK9aECz6+91pfUSKFk9jfj2w3N6BVR4yehyJm9Qomf3l478fP2t8OoUa53jZtQGjl8H4tC79GN923FLV9jAcdKKlnWut3TNp1qicVySzaUBePQifxiHjnRzT/X12O6uyHPSzNUBkLt5BEh47Eo1ONnlHr8iKRVOtqeCb9xLct6CVjqsPx1grmYVMrp7eG50xazc8LMqOU/f7W5L/GDrjyKjDSZjEXGOF/dNu6jJ9LLQ+In1sffsQi+2nfCBSlu9Le0wKlgbZD6epgyJfF9gomfeLUnYmO4p1gfObNXGhI/yexvxre7d6/9O6bHT1yTJ8O4cdF1fl54wR7+dccd3rczQmW6XTRQtz+ywzXpE3KiZBRj2hrJ6+mmOzePXGMozDO0dvX2W9dL0tgp2QB2YWeAxsIyOvIKML29djyYOtXz88km6eohmAy1k4e/oYhFgWI78TO6TYkfkXRKR9vTd5daenNy+fKln+i3fG93gf1HRIFnXXkUkXQIJX3e8uZLGKuX52YsiVqecYGAPcV2Eq5YYSd4JuV2YyD1jf7IWXn27fOW+DlyBBYtSrr2RMJYP2eO/TtNdX7SVSsjJdvdu9cenlUV/frEPfE0xu71Ezmz1/33Q34+vOc9yT4N8aGa2jpPsxAeL60EYHRbI8fKxtBjWXT1QH6uoaunL+BFJo3jfbYikw2RPX9GdbQA0FhUSndOhb3w4MFhmfipqa1j9f3b6Oq1X7+6QBur77eTrEOR/FE7WVKpQTV+RDIiHW3PpIo7D6WiiePsP06cGNodEZER48a/3su/Pvfrod6NAfX4IT8fCgv55NLx/af/ToWI4qw3rv2tt+nig1OFp3x2qPJye4r4NCV+0jWbVUq2+/rrMHNm1FA7T9M4L14ML79s12iyLHuY1+WXJ/85E1/yWsT9eEklAOMjpnTv6rUoLchzLA7u5bNVvbSKDWtWUhXxOa5oDyZ+Cks5UjbWXjhMp3S/7eEd4aRPSFevxW0P7xiiPRJJnVNFoRo/SvyIpFM62p5Zk/j52HvOtf+I6PEjIpJOdRUTmHrq6FDvxsASPwBlZdCUnsbZlg19dUGmBurDV7Vdkz/t7fbzmDQpPbNDpXFmr3TNZpWS7e7d22+Yl6dpnBcvtmfJfPVV2LzZnhns/e9P+jmIP7kVdY51otSu5zTr5EEKuzvDy0+1dbFhzcp+SeNkpghfvWoe+Tn2+NiKjuBQr6JSjlcGL+QN05m9Ai61kNyWi2STjvxC2vIKGRUcviki6ZGOtqfvhnq5ufItc+zu7Er8iEiGHBw1kSt3PkNubw89ObmJ75AOljXwxE95OTT3b5ylov7EX59+iXOAU4WlTDtlF5IOXdV23NYRex0mTUpP7YnTT4dHHhn4/eNIV62M6qVVLLzry0y6/14syx6BVZSXS/7PKuG++2D58vgbsCw78XPhhVGLPXUPjizwvGWLXWRXw7yGDQMJ6/sAHC63p3D+zsP/DUBLfhENxRX8beEK4Ip+6yfT9Tx0fNz28I5wjx9TWcnnb7gQvleY8R4/fqi7IzIcBIrKGN3WONS7ITKspaPtmTWJH4yBMWPSMtRLjQERcXJw1ATyrF4mNZ2gbtQQTVva3g6dnQNP/MT0+EnVLAGVDUc4VVjKq+OmhxM/EOeqdn29/XvSpPBjpTTOzp0LR49CYyNUVKRuu0FpqZVhWcz98+/g9NlwySV9yx98ED76Udi6FYrjdOk9ccJ+f2Nm9PI0jfOCBZCbaxd4vv9+uOwy+ztWhgWv5cjqRk3gQ9fewYzAYUa3NjK6rZEL92+jevtfHNevLMl3rB1UWZLvuH74uLlrB/wR/nDre+xZ46qqMtrjJ10z8zkZ7fIajXZ5jdJJ7VtJh0BxOZXq8SOSdqlue2bNUC8Axo5NeY8fT7UQRGREqquwkz1TIxIbGRcI2L9TlPhJZqhGPJOaTlBfPpYDoyYyLeDh9Yno8ZMWkTN7ZYsDB+yE2Cc/CXff3ffzk5/Anj3wxS/Gv7/LjF6XzB/vuHrU8sJCmD8ffvELuzi3hnmNWM/NWMJ9S9/Fdy+4lnuu+Ve6Pvgh8pub7CRqjPaY2JFoeVggYF/AK7cLwzJ1akYTP6mKe17ceuVC8nOjp4DMzzXceuXClD9WPGrfSroEissZpRo/IlknuxI/Y8ZEJX5qautYsXY9M9c86q2wqINEjYFUPIaIZKeDwV4+VY1DWOdnMIkfhxo/qZoloKr1JEfK7MTP5Kbj5PV0A3Guasf0+Em5bEz8bNxo/44d0nXppfCP/wjf+AY895z7/V0SP0/uOua4er/lixfbtX1yc+Gqq5LZc/E5t+OwtCDXsWbA1z+wOFzP58y3LLJvOHCg3/3bHKZ5j7c81Ia659FaGgtLqdl22L6hqirpoV6DaY+la2Y+J9VLq1j3vsVRxbHXvW9xxnvaZDLZJSNLoKhcs3qJZECq8xBZk/ipqa2LGuqVqisZ8RoDuloiMrIdrrB7SAxpgefB9viJqfGTqlkCZnec4siocRyonEiu1cvkpuPxr2qHEj8T0jRkLpT8yLbET1FRX72dSOvWwbRp8LGP2UWYnbz+uv175syoxZ5PckOPe+mldo9aGTbcep185b2LuPPqRY4zdoVNm2b/3r9/UPsQ2Yaq6GjhVGFpXxtq6lQ78WN5G5Q22PZYumbmcxOa2SwtMyp65Fbg22vhbxE3gaIyDfUSSbN05CF8lfgxcW5b99juqKFeqbqSEa8xoKslIiNbR14BR8rGUJWBxI9rVj/FQ71SMktAdzfFJ4+x6PwFtFdNB2Bpd0P8q9r19XYMz09TnYuSEvtkMhWJn6efhieeGPx2Etm4Ec491/k1KS+HH/3IHvL1pS8533/vXpgypV8dIM8nuUuW2L/f974kd1z8Ll6vk4RJiVDix6HHj1tPIqflkW2oivYWGgtL+9pQVVXQ0eFYt9EpFg62PZaumfncqLe4DGenisupbGv0nLgVkeSlIw/hq8RPvPBRF2jj1a78cOInVd124zUGMtk1WET86WDFBKY2prfGT9ysfooTP9VLqxJf8U+kvh56e5l/zhl8+wvXAPCt5ZXxt1Ffn75hXiGnnw67dg1+O5/8JHzkI9DrPHwlJTo74cUXYdky93Uuu8zel69/Hf72t/63O0zlDkmc5F52Gfz4x/ZzlWFnwL1OpkyBnBzHxE8y9Wsi20oVHS00FpX2LZ861b4hps6PWyx066XitT2WkrjnUTb3FlfCSrxoKC6nsKeb4q6Ood4VkWErHXmI7JnVC3jkYAefa2uDtjZvs5Z4EG+qtHWP7U7JY4hI9qobNYHFh/ek9THiZfWrRwXsBYOp8ROaKzxo0LMEhE7Wpk61f3Jz7QLB8WQi8bN4MXzve9DdbU9PPhD799u9bABeeCF+YmYwtm2zezwkmrJ93Tr405/g05+2E0UR7yOvv24nb2J4ngI0N9ceSiYSKS8PJk92TPwkM71sZDutor2ZA5WTwsupCg4trKvr63mGeyzMNYYeh94FybTH0jIzn4O48TyDQ77cXrNc49y/PpMzn0l2CxTZRdor25toKyga4r0RGZ6SnUXTi6xK/BwrKLP/OHmS1avmRX1BwcC77bo1BlL5GCKSnQ6OmsA7dj9HTm8PvTm5ie8wAHGz+lbA/megPX56euwEQ1EKG2ehoqxVVfZJ4vTpiRM/R47AW94S/jct0wwvWQLt7fZwrzPOGNg2Iod4/fa36Uv8uBV2jlVRAbfeCh//OPzlL3D55fbytjb7fXDo8QOZO8mVoZW26bqnTYtK/AzkcVavmsfqB7bR1WNR3mEP9crPNVwyfzzVv3uFGuC//+8vnD5lSXhbbrGwx7Iozs/NivaYX3qLX7dsGvdu7F+n6bpl0xzX90vCSvwvMvETqoUoIqnlNpJyMCMsfTXUK5FAUV/iJxPddjPZNVhE/KmuYgIFvd1MaG5I22PErckSCNhTbw8kcROaOrkpxbNvRCZ+gGNjJ/PyX7e6Dw+wrKgeP2kbChHqObB168C38ec/w8SJdsHj3/42fTUMNm60X7/QkJd4rr/e7oGxbl3fslCizSXxI8Of1+NoQMN3IhI/Az1eN795kq4e+/gJ1fjp6bW4b9MBtvcU02NyKDxaH7Utt1hYVVnMNedUhXur5BrDNef4M7mZ6ULSbu6oXsQNy6dHvWY3LJ/OHdWLHNf3S8JK/O9UsX0+Vqkp3UXSJtDWv7dPvOVeZFfipzh4EhMsBpiJWRP8MDODiAydg6MmAqS1zk/cmiyBwMB6+wAvnrC/HN72xYdTW6/h4EEoKIBx46ipreOZrjImnjzsflLY3AytrXZChTROM3zGGfZ+DTTx09tr96q57DK4+mp7yNfOnYPbJzcbNybu7RNSWAj/+q92Uir03EIzes2alZbdE//zchwNOMk6fbqd+LGspI/Xmto6ltz+eLi3ibF6Ketso7GolF4LunotenJyOVZayeSm41HbcouFl8wfz4Nb6sJDl3osiwe31PmyBk2mC0nHc0f1Ivbe+S7eWHsFe+98l2vSB/yTsBL/C/f4UeJHJG3chuW6LfciqxI/7WWj7D+CBZ5FRNLt4Ch7+vF0zuwVt3fhABM/NbV1/GS7nSQv7WxNbYHRujq7t4oxrHtsN/sqJjC+JUBRVzvgcFIYmso92OMnbVeW8/PhzDMHnvjZvh2OHbOHU111lb3st78d3D45OXrUTtx4TfwA/NM/2TWbvvY1+/+9e+3f6vEzYnk5jgacZJ02zR42eeJEUsdrKNEUeUWyvKOVHCwaC8ui1q0vH8ekphNR23KLhU/uOpY1s6xma29xPyWsxN8aikNDvTSlu0i6ONVoi7fci6yp8ZNrDP909fnwfyjxIyIZUxccvz41zVO6u9ZkGWDiZ91ju5mVWwhASWd0QmbQJyChxA/2CduBUK+oU0d5bdz08PKwmMRPqorzO1qyBB55pF9Ba0/+8hf792WX2c9v2TI78fOFLwx+vyI9/7z9O5nET2UlfOIT8K1vwX/9l534KS+HceNSu2+SNbwcRwNOsoamdN+/P6nj1SnRVNHRAhCe1Sukvnwss070H+LlFAtvvG/rwJ7HEMnGGlvJFO6WkS2yxo+IpEeVy3dv1SDaylnT4+frH1jMqrctsP8JDvUSEUm39vwijpVUUtWY3sSPqwEmfg4F2mgpsL8cyjrbopYPWl1duDbNlMpiDoyyEzpTT/UNh4s6KYxJ/KT1yvKSJXavncOHk7/vX/5iDxcLJrV473thyxZ7pq9U2rjRLop99tnJ3e8zn7F/33233WNo1qzkk1sybHg5jgY8fCeU+DlwIKnj1Sm+VLQHEz+FduInP8f+zB4uH8ekpuOejn0NQ8oMlTcQLzryC2nPK9BQL5E0Skdb2VeJn4Jct7FswSsRJSV2/Qb1+BGRNLph+fSo/+tGjWfqqaP9lmfEABM/UyqLw4mf0ojEz6BPlCzLrvETTI6sXjWP4+OmADAtmPjp98V0JJgQCiZ+0joUYqAFnjs64Omno6dHf+977d81NYPfr0gbN9pTz5eUJHe/006Da6+FH/4QXnpJw7xGOC/H0YAbjhGJn2SOV6f4UtFhDwdpLCrlhuXTWff+xVRVFnOkbCwVna2sWzXT0wxhGoYkMnRiz9ECRWVUtjW5nruJyOCko63sq6Fe//2+xdx431YiR64Z4OsfWBL8x8DYsUr8iEhahQpg/ur5A/RYFnWjJrLs1AHeFqcwZtoMMPGzetU8vl1nz8oTSvyk5ESpocGu/RFM/FQvrQLrbXT8TwHTA0eochoeUF8Publ2/A5K21CIs86yf2/dCu96l/f7/e1v9hTpkYmf00+HhQvt4V7/+q+p2b+eHti0CT760YHdf/Vq+OUv7YLZH/xgavZJslai42jAw3cmTLBrZgVn9vJ6vK5eNY+bH9oeNdwr1OPnH99zDpcEY2j10iqYdhie/gnvHpe4XoGGIYkMrdhztIbiCirbm/jv9y0e0v0SGc5S3Vb2VeKnemkV92/ez4a9fYmdC2aPiX7CY8Yo8SMiaXfuaWN4ctcxDgXaCEyYwujXX7BnfcrJYEdJy/Kc+Kmpret3UvS5q8+B79hDvRwTMgMRmso9Yhry6rOnwpxZfGKa4RNrVva/T329fSKZiddu1Ch7CFSyPX7+/Gc7OXXxxdHL3/teu6bO8eOpqaezc6edtFm2bGD3X7LETk795S/q8SOeDKjhmJNjH+PBxE8yjwXRCZp/WjwWfguXLD8dsGPVbQ/vYP7u/fwa+Me1v+OdnylPuI/ZWDdHZLiIPUc7VVTGdNo5Q8ekSNbwVeLnlprtUUkfgA17T3L5N57iz5+7mJraOma05ND+wh5uWrueS+aPD5+YjSrOxxgItHbpSpCIDEpNbR2fjSgmuqtwDLmdHfzxL1t559uTrMsyGO3t0NmZMPETmkkndJW9LtDGZ+/byrh8uAK49ZLp3BqRkHFKEoXiZbzbAHuYF/TVwQmZORP27XPewfr68DCvjFiyJPnEz1/+YidjKiqil7/3vXDHHXbB6I99bPD7tnGj/TuZws6xbr4Znniib1ibSDqEpnR3ERsrIttkUyqLuevaJQA8+8UHORtYdc9LnLe0ifs2HaCr1+JwuZ1ILTt2hM/et5XP3rc1dQlqD/s71O3ETOzPLTXbwz1Xc43humXT4k7p7rfXSPwj9hwtUFxO5clD3FKzPe5nSkQGLtUx2VeJn3s3OhfQfPVoC9f/8G+8uP8Ud+eXMr2lnrpAW9T6kVOHhqYtBvSFJSJJ+2zMDDIHg7NW/eDnT2Y28RMI2L8TJH6cZtIBON4FnTl5/OiRrdybuz48zGv1/dvo6rU7bNcF2lh9/7bwfWITSP1iaajHj1Pi529/c97BoUj8/Pa30NRkz3xFgi/PhgbYvBluuaX/tpYutWvr/Pa3qUv8jBkDc+Yk3i83K1faU8JrRi9JYFCNxmnT4NlnHbd5+yM7aGiNbndFtslCyWeAzwYa6MWwp92wZ+P+8FCR+jJ76OfE5hNR90tH+80pOT6U7cRM7M8tNduj3pMeywr/73Si7rfXSPwl9hwtUFTO6PYm7t24X4kfkTRIR0z2VeInnlCWOVBUzlltryZcP2XTFovIiNc3pfuRBGummMfET7yZuloKiinpaov4wrDCSZ+Qrl6L2x7eQWlhXr8EUr9YGkr8TJ4c/UAzZ9r76zQ0rb6+r/ZOJixZYg+T274dLrgg8Zfnk0/aw/guv7z/toyB6mr43/+1a+uEhqtZlp0w2rcP3njD/n38OFx6KVx/PVx0kT10LNbGjXZvH2MG96WewqSPrvJnh2Tfp0E3GqdNs3v49fSEP8ux2/Sior2F5sISLBM91LMjv5CGonImNx2PWp6O9ptTcnwo24mZ2J9fPe/cW+tXzx9wPFH322sk/hYq7oyVuEaXiCQvHTE5axI/IYFiO8PsRUqmLRaREa+uYgIAUzM9pbvHxM+UymLqXOJdS0FxeDr3eCdrgbYuTkX0nIwUFUsPHoSJE+0ZFiPNnGn/3rfP7iUT0ttr907JZI+f0ONv3QoXXJD4y/Mvf4GyMve6Ox/8IHzzm3ZCJ1ZBAcyYYT//GTPg/vvhxz+GKVPguuvgggv6kkVdXfDKK/bMXKT3RMtrkkBX+bNDsu9TTW0dN/1mGz0xJ2VeP181tXW8+korq3t6uOqWB/jYB95K9dIq196F8VR0tISnco9VXz6WSTGJHxh4+83tc++2vaFqJ2Zif2Lf+0TL/fYaib8Fiiso7OmiqLtjqHdFZFhKR0zOysRPUXcnhV0ddOQXxl130NMWi4gALYUlnCyuoOqUPxM/q1fNixq+Fam5oDhqOvd43BJIUbG0rq7/MC9wT/w0NNgJj4kTPe1DSlRV2TOI1dYCHr48//xnu4dOfr7z9pYvh/37oaUlenlFhZ3Qiixa3dZm1wO69147WfT1r/ffXrCAdLpOtJJJEugqf3ZI5n0Kvf/JnuDH3v8teaMAyDl4MPz5Gchns6KjhcaieImfE/2Wjyp2ORbjiPe59xTbUumnP4Xf/Ab+7d/gkkscHzfd+5NrjONnINc4T7+d8ddIslqgqAyAyrbmId4TkeEpHTE5g9PTpEagyK7XUJmg109Kpi0WEQmqqxjPVJ8mfgBwbsvTWlBEaUfik7XRJfmsXjWP4vzo4Un9YqmXxE+k+nr7dyZ7/BgTVeDZ7UtySmUxvP46vPaa8zCvCDXHc1hRc4iZP9nLippD1LSV2716YmcqKy6GD3wAHn4Yjhyxk0+RP7t3w4UXJt6vQYiXJKiprWPF2vXMXPMoK9aud+0ppqv8/uIlSRh6bz9739a4vXISfb5Cn5/DFfZwwslNx8Ofn4F8Nivam117/NRVTGB6oL7fcBGX3ISn/Y4U2u8ZY533+2hjGzW1dUk9Tuwx5Hj/730P/vAHux7XypXw179G3ewp1g7SdcumJbX8kvnjk1ouI1ug2D4fG93eOMR7IjI8pSMmZ13ipzEYaObldXLD8ulUVRZjgMrifEaX5GOAqspi7rx6ka5WikjKHBw10Vc1fiJPPm76zTa6epyv7jcXlFDaFX3SmJ9r+v1/65ULqV5axZ1XLwrHVcdYevBg1FTuYaNH21Op+yHxA3biZ/t26O6Of5L1hS9AYSFcdZXrpkI9CeoCbVj09SRIeMI4Zoy9H5E/p58evjldJ39uSYLQfkc+D7fza13l95dEScLIz2g8+bkm4ecr9Pk5VG43Lic3Hgsvd/rMJmL3+ClzvG3PuOmM6mhhQnP0jK6BVudhp/HES45tfL3B8bauXrwdy0GeYkFzs10s/nOfs3v9vfKKney9/HK46y74wx+ormjnzqsWxI+1g3RH9SJuWD493MMn1xhuWD7dtRDvk7uOJbVcRrZToQvx6vEjkhbpiMlZN9TrZDDQfPLMSt4a+eX1xBPw6U/Dli12rQYRkRSqqxjPxa9vsa9MD+Ry9EC4JH5ihzS4DekAu8ZP5Kw5ANeeNy1qit9rz5sWPuGoXlrlfvLR1gYnTzr3+AHnKd2HMvHT0QG7d1O9dCFAv9of4zc+A7/+NXevuI77f/06q1flOz73dA2HCt031YWV3boH5xrT73lY2J3FIj9B6jHrP6tXzetXVDnyffJceydBHdaa2jpygkOEThWV0ZpfyJRgDZ4cY7jxvq2UFOSGPzMGKCnIpbWzx/VzV9HeQuME5x4/e8afBsC8429ytHxsePlAEo9uj19Zkh81A1ksp2PZrVaQp1jwt79BTw83NkygJn82Mz/9Y7556nkW/fr/7HpiQdWFhVRfein84hfeenUOwB3VizzPuKQaP5KMhuCF+FEe666KSHJU4wcIFNtJnd88/hLHz70g/EW777v3MHPPHi7/7M9pnTNPs5KISEodHDWR4u4OOHYMJkzIzIMGAnZvlKKiqMXJFFhtLSiKqvFjgAe31IWTRT2WxYNb6jj3tDGOMfOWmu3hJNHMQD1PQvzEz65d0cuOBHtJDUXiB+zhXgsX9ktoPbxxL1W3rGbf6Ml8b/n76YhTByedJ0RxE20D5JYkcPvMWNg9DjSrl38lShJ6/Sx29VquSY5QD7BwbsgYDpWPD/f4CcWMls6+z5EFtHX2cNe1S6heWsXMmx/tN8lPvOLOe8bZiZ/Tj73JszPPDi8fSFf21avmsfqB/r0fm9u7+yU3AaY0HuWnv7mVW97+aTbRlxyJVyvISyzYfd/vmW1yeHzULCzg9VaLD5S8hTt//0mqpxXawz1374aXX4bvfMeu+fX442n5XklmJrii/Bzaunodl4vECpfeaFPiRyQdVOOHvkBT0hRg3WO7AfuLrffpZwCobGv03g1fRMSjg6OCxYnffDNzD+o0NTrJJRyaI2b1glDj3vmKdaxbarZz78b94RO+CcETwHvedLl6PnOmPbV55Jlffb2duKqo8LzPKTFvnp00C9b5iXX0i19mxsk6vnj5p+nIs2coc3sd0lWLJ12ql1ZxzTlVUUM8rjmniiqX/a2qLGbDmpXsW3sFG9asVNLHp6qXVrm+T8l8FmPrAq1+YFu4cRmbHDlUMT7c48dNL3DzQy9RU1tHUV50s9JYvZR1tPYr7hwaLnayZBTHSiuZdzw6rg6kK3v10ipKC/pfz+zqtSiI2S8si/98/HvMPXGAlXtfiHr94vXq8RIL2p54kpcnzaalsKTf/Rk3DlasgL//e/jGN+D3v4c9e+yhYAecp18fqGSHqHZ090/6xFsuI1voQnxlu4Z6iaRDOsoBZG3ip7K9Odx4+eGDG5l9wv7CHNNmFxlza8CLiAxE3ajgFeg33sjcg7okftxOPpxGoLUUFFPS2R6u79DucEUXnJNJv3o++kQkNGTsVwddehvNnGkPBzsSUQupvt6e0StTw+NC8vPhzDOdEz+vvcaHn/wlj8y/kL/OXBp1k9PrkIlCrKlUU1vn2Kvrkvnjs+p5iHfJ1N6JjB+3P7LDtT4YwOHycUxpTJyEaevqZfX92/r1GCnvaCUHi8bCviH4oXo2oUTk7nGncXpM4megvelOtTknpWOTF6v2/I3L9r5At8nhrPpXo3oYxevVkzAWtLVxxoGdPD+t//Aqx+2+/e32rIL19fDWt8Krr8Z7ekmJl8By4jApZNzlMrK15xXSkZtPZZuKO4ukg9tFvMFcnMu6xE9bfjDQtDdhASvWrmfqjhfDt0d2ORxow8HTjA0iMqLUVQS74fsg8eN28lHpMAVyc0EJBb3d7L3tUu6oXkRlifM0yU7LY2sHhaZdPlQ2tt+6AMyaZf+eNg0KCuyfn/8cJk92Xj/dQjN7WVZfXP+P3/P8u66jKy+fL6/8h353cUqqeSp67SNuJ3xP7jrm+DwAfedludjP6OiSfEochujEJvri1b4BOFwxjnEtAfJ7Ehdb7nLIEFR0tACEe/yEHj/Ue6mqspg9407j9OP7MVZfcmZKZfGA2mJepoEv62jltr98n1cmzOT+RZdxZv1rPPVKX7I6Xq+ehLFg0yYKe7rZNG1hv/u7xV5WrICnnoLWVrvnz2uvJXwOXiQ7RDXHJTfvtlxGOGMIFJerx49ImrhdxBtMGy3ravyEA00wwVMXaOPjB16mIzePwp5uRkckfgbSDT/e2G6/NvJFJP0ai8poLCylIk1DvRxrMQQC9mxZMdzqfdx439Z+67bmB+sDNTVBYWG/+hshoeWR+xFrctNxmgqKaY4YwhBl5Ur4ylfsWW0irVrl7fmmOsYuXQo/+hHbbv4vNr5ykuU9Fqc1HGLZq5v58mX/SEPlOIjo7RCv90s6avGkS7wTvtjnoe+87JboOBrscXaofDw5WExsOsHByuTrdFW0BxM/haVUOTz+JfPHs3v8aZR0dTD11FEOBB/jaGMbn42IZ14+lzW1dTR1dDveVhxRv+amZ3/OxOaTfOq9n2fu8Te57qXHKXjj9fC6iQppx40FzzxDL4YXpvZP/MTG3tj35vbvP8Blf3clfPGL8KtfOW8/CQV5OY7DtPoNewsqzHOu8VPosn48GYnvMuQaisqpVHFnkbRIx8Qi2Zf4AQJFZVGB5ryDO3ix6gzOrtsV1eVwIMUB0zV7i4hkv4OjJrAgDT1+3E6+Lz1ynPKZMx3v43QCH5qNJ1JLQTAB3twM48YRcBkKEWjr6rcfsSY2neCIW28fsGv5fP7z7rdH7GtGkg0rVgCw+Ku3sDhi8ZYp8/nJ0ndRXpBHaWHesDs5SaYgoL7zspeX4yhRwrKyON81JoDd4wdgStPxASV+ZuXb2/7Bv15mFzGO8ftth5k1bjoA8469GU78OI1ITfS5XPfYbnpcxiXlGENxfi5z9u/iIy8+yr1L38XWKfNoD9b3eltjX0J/ULPtPf00uybMcJy+PvJ1dnrv/l9tLr+7+gZO//n34ctfhjlzEj9eHMnW7HEbBuy23I2SySPHqYgL8SKSWk7tuHjLvcjOxE9xRTjQlHe0sODoPr59wbXMPFkX1eNnIMUBNZ2liLg5OGpiWhI/biffXSdOeprmN9TQdprWvbMkWFS1yY6NuQ7JodDyRLOFTWo+QX35WNciwV5lLNmwZAkcOcKFX3okqmhtffk4enJyOdXWxdZb3566x/OJRD0WIuk7L3ul4jh69+LJ3Ltxv+vth8rtC2iTPdT5iVWcn8uH54+y/3GJY4G2rr6ZvY6/yV/mLou7zXify3i3tXT2cOGMCv79h9/hRMko1l30EQBeHTed9rwCLm+Nrmc2oB5+nZ3w3HNsWnC54825EXXO3N67m6pW8kj+j2HdOvj+95N7/EEa5ZIE9DJ8LpKSySNHoKiM0xoOD/VuiAxLTrNRhpYPVNbV+IFgj59gguecgzvJtXrZNHUhDcUV4eLOMLCGa7bN3iIimVNXMd6e1cttvNQAOcYqy6K0rdlxqFcst4RNrjFce8kC+5+GBqB/3Z6QHsuK2o/3vPIUN9T+gdzevu1ObDrJsVHjB10MOKPJhgkT6J0xk4OVk8I/3bn2NQ8/xPV01JRLpiaRvvOyl5fjKN7nq6a2jvteiD+TVGSPn2SEPnPLxgRrkcVJYDcXlnCwYny/As9O4n0uE31mZzz0SxYd2cvtl36SpuD08j05ubwyYSal27dGrTug43LLFmhrY6NDfR+Ijr1u793LPcXwsY/BT34Chw4lfswUcqu/n2xdfiWTR46AhnqJpI3bmcZgzkCyNPHTF2jOO7iDrpxcaqfMj6r9AwNruGbb7C0ikjkHR020h0ydPJnS7TrFqsLuTgp7uj31+HFrUPdaFhe87zJ7hqvf/hYg7pTeof24YuezfOuRr3HH49/ltz+/iQVHXient4eJzScYPXfGoK/aZjrZsHrVPPJjKpTm55ghj+vJTrecjHhTf0fSd172SnQcJfp8rXtsd9wZvQBaC4oJFJUxudFb4ic/x3D3tUv6PnOBgH2DSxwbHSx4vGfcacw7Fj/xk+hzmegz+/7tf2Hr5Lk8Ov+tUctfmjSXuXWvQo+d5B7wcfnMMwAcWHiO482RsTfue7d6NXR329O9Z1DApdC323I3SiaPHA0q7iySVbIy8RMZaM4/sIPtk+bQVlDEyeIKRgd7/BgSNwKcZNvsLSKSOQdHBWf2mj/fnqnK7WfOHHj99fgbi+CUmBjb1Wr/4SHxE7ehPXEiXHMN3HMPtLS41j67ZL7dk+eC+l1849Fv8ELVAj7z7puY3HSch3/6We54/HvkWb082Zzf7wQo2avjQ5JsiL1qbWDzmyeHdDarZKdbTgd952WvRMdRos+X1x4Y9pTuRz2t2x2ssVNTW8eS2x/n7gc20Yvh7Ls3Oh5fV5xlz/i3Z/xpzDp5kLwe5+LMo0vy+z6XTU1w/vnw8MNR61QvrXKc2RBgQtMJzqp/jcfnvqVfF5btk+ZS2tUOu+3XZcDH5dNPwxln8IlrlieMb3Hfu1mz4IMfhP/935RcZBjdeop1j97Npu98OPzD5MkwfTps2BBez21IV7JDvYY6mayZeTPnVHE5Rd2d0KbeXCKplqpemJGyssZPKNCMamti8eE9/Pi8qwCC0wo2YYDrl08fcMM1m2ZvEZHM+etpS+DGG6GlxX2l3l740Y/g3nvhS1/yvvGYQF7REbyK5iHxk7Cmyz//M/z61/DLX/LkidmO23hy1zHuWFDIu2ruoH70RD55zS0ESip4cvZ5fP7JH/OhbX8CoK50HA8/siMcIwdSyHNQxVMHwKlnQ1ePxS827g93mR2KAqTpHBKRzKw6+s7LTomOo0SFId2KgMc6VDG+31CvD279Exfv28LO8TPZNnku2yfN5URpJRZw+yM7aG7vpqvXoqK9hebCEk6297D6gW1R+w19tRh3jzuNwp5uTms4zN5x08g1hl7Lcv7svvgivPACXH89PP88LFgQvsmtZtElr28G4Ik55/e7bc+0YJzcsgUWLBhYQc2eHvjrX+FDH/IU3xKus2YN/PKX8J3vJPc9EmF0cR4Xbf4zX3zih1R0tPD7+RfSll9EQV4O71s6Bf7v/+zET7AIfqpOMjId3yOpsHRmBYrK7T9OnICpU4d2Z0SGmUSz8A5EViZ+QoHm4tc3U9DbzabgtJkNxRVUtjdx1/vPovqcaUO5iyIyDLUUlsBaD93vd+2CBx7w3GB3SkyUtHpP/CRsaK9YAWedBf/zPxxadYdjS76j7jC88xMUFOQz/W9PUTt7NjPWPEpjURlr3vmv1Cy8mPdtf4JN0xbSGNH1f6CFPDOZbHBLpMR+d2a6AGkys28lQyc/I0e84yheIXewE8aRU6a7OVw+jrPrdoX//+TzD/L5p+7haOlo3r5nIznBI+lgxQQ+VX0z2yfPDa9b3tFKY7CeTlePxe0RSWPoOzb3jLcLPM87/iZ7x02jx7L6ddILJTNXrn+ALwOdJpeC6mrYtCkcJ3+/zbnQ7GWvbeJgxXh2BwtJR1py+TL4eQls3gwf/nDC183Rtm12T6SLLnJfJ0bcGLhoEVx5JXzrW3DTTVBa2ndbZ6c9FCyeujp++psvcdYrm3hxyjzWvOP/sWf8DABWzB7D+z7xFnvK+Pr68F1SNdQLhi6ZrMLSmRUIzV538qQSPyIp5jbrplvPVi+ydqgXwNtf3Ugvhs1TF1BakMu/vG8Zeb29VM/qP42miEjGvP/9sH17eOhAIk4n/+cd3GH/Mdu5h06suDVdjLF7/WzbxqpT/YegFXW189PffQUOH4ZHHnF8zI3Tz+Lfrrix3zTF2VDIM5lESib3O11DIvwwhEyGXrxC7uA9CVhfMZ7R7U0UdbXzTxsf4PNP3cPDZ7yNt3z6Jyz67H184ENr+fIlH2ds6ymu3rE+6r4VHc00FZaE/29o7QoPvamprSMnmEx5bcxUekxOVJ2fyPo6t9RsD9fdmXt8P40FJXzsvbfQu+8N+NCHoKeHmto6x0ZyYVcHK97cavf2cUjePLC1nuOnn2knfjy8bo6eftr+/ba3UVNbx+oHtkXVCFr9wLbkhxzdfLPdk+K22+C734W//3s7IVRcbCeC4v2cfjqzXtvOly77R953/X+Hkz4AG/YGh49NmhSV+BkOtXmy4ftoOAkEz8dSXfdQRKC5wznB77bci6zs8XMq3ONnC7smzLBPRDp7YJw9+wQnTsDo0Ul1dXcy2PuLyAh19dXwmc/YvX6+8IWEq/e7wmxZfHDbYzw/7UyWzZmTmn26/nr493/nC2+u5+nxp4cTA8bq5a4/fpMFB3fBQw/Bsr7plL1cbUhXr5VUchoK5zZNZib3O11DInTyI2DXa3I6NkeX5LNi7XoOBdpce7eEGOCSy86GZ37GbX/5AR986XF+d8ZFfO7dn6MnJ5eWwhI2TTuTTdPO5IL9L3HJ3s1888p/CceNio6WfsniUALy5oe2hx+7I7+QN0ZPdpzZq62rh189fyC87unH32TP+NPYMPkMvv7uf2Z1zd3wpS+xrvxSx+fwlv3bKenqYP3s/sO8QttfXzKVD9T+Ebq7XV+3UHFmx7bhM8/YCfOqKm7/0eOOQ0tjezsl9Ja32D2IvvY1+//x4+G88+Cqq6CiIv598/K4/LUxHK5wrukG9Ev8XDJ/vPMwOZe6cH6UDd9Hw4kSPyLpE6qZ53W5F1mZ+AkU242I0q728DAvAMaOtX+fOEFNU/Ggurqrq7yIDNjUqXDBBXD//Z4SP7EnXm/Zv52ZDYf55ooPsczlPkkrLYW/+zumffe7fOOm27hj80kOBdq4ZcsDvHPns7BuHVRXR93ltvcsZPX92+iK+JLJzzHc9p6+uJuwvpAPOCVYLpk/nge31A35fqdjSIROfgScj838XENzezcNweE7cXuxYH9mznnLEgA++NLj/HbBxfzbFTfSk5Pbb93n5p7LpXtfYN2SYj79fF+Nn0MxyYe6QBs3/WZbv8feM+401yndw+taFqcf38+fTn8LAN89/VJW/0Mz/Nd/cVa1Rd28Ff3uu3LvC7TmF7Jx+iLX5/m3MTP5QFsb7NwZN6bV1Nbx1Xue5OI9z2OCqeMtTxve9dyTFFxzNUD4tY3ltjyuX/zC7om0dClMm5ZUwZ3Dax6Nv8KkSbBzZ/jfUL2lWG7L/Wg4JK+ySbjGjxI/IlkhKxM/DUV9Vzo2TTsTgOL8HBg72l544gTrXmoZ1DhfjRMWkUF53/vgc5+DV1+FuXPjrhp7hfm6bX8iUFTGtvOdr2A78dRD8dOfhm9+k3du/D3vvOUWu+DzV38GH/uYXUciRkqKlPqEU4Ll3NPG+H6/ByIbknGSfk7HZktHt2MvPqcecOHPzEQDOTlw/fW89557MC/Vs+6x3dRF9Biqqixm2advgD99j8vfeJFrz1/JvRv3U9HRwq6iGf0eyynhtGfcdN7+6kYKuzvpyCtwfE7jWgOMaWvk1XHTAZgyugT+8zvw8sv89x+/xaapCzlRWtl3B8ti5d5N/HXGUtdtAtTPtduSbN5M9cc+1u91C8WGs2/9I/fe9yUWHN3XfyNXXOG6/QGrqrJ/0mHSJHjyyfC/Tj0CR7eeouBkHbw6Lfp+5eXp2adBGg7Jq2wSVdxZRHwvKxM/oR4/AC8Ee/wU5ef29fg5fpxDgbGO93Xr6h570uQ2e4O6youIJ9dcYyd+HnjArtUQx+pV88I9a0a3nmLVnuf49dJ38Zl3n+XpoTz3UDz9dLj8cvj+92HlSjvh89a3wve+53ol2UuPlGydFSpb9zuR6qVVbH7zZHh4TK4xXHPO8HyuEl/sZ3xmnF4gNyyf7v6ZeeMNuyejMeFlsTHnM5s62TRjNq33/Zb7LraT3RXtzeHizuA+xBLsHj+5Vi8LTh2iduwMx3XmHrd7c+wed1pfYqqwEO65h6KFZ/Jvz/yMm9/5r+H15x1/k6mNx/j2BR90fezi/Fyuff+l8MMye2avj33MNTa8a+PvWXB0Hze960aembk0vLw7J5faa64B0lOQMy0mTrR7anR0QGFhv7ZvRXszG7/7dxT2dMEPI+43Z459QcOHNMw1s9ryC+nIzaNQPX5EUi4/B7p6nZcPVFYWd27PK6QjN5/XR0/hWJndy6ehtSuqxk8yRepCJ02RhfjcOtOqq7yIeDJ9ul0v54EHvK0fDDpXv7yewp5u7luyyvNDJVXM95//GQ4ehEsvta/cPvSQfeIkw0ZNbR0PbqkL96rosSwe3FKXfHFZGXbc2jCjivPjf2Zihhm5xZw/VC2hctNz5Ha0Yaze4Kxe9sU6Y9yTPtA3s9cXTutxnUHrjGDip2n2PO68elFfcmb+fO459yqufenPLDrcl5S49LVNAKyffR4WfXV6Qtuvqiy2t3PONDjnnHCBZ0cnTnDTMz/nueln8eCZKzlWNib801AyKrzabe9ZSH5O9P7HDpH1hUmT7N9HjwL9i82f1nCYwp4uXv3wP8K999o/H/84vPYaHDo0FHuc0HAoUJ1VjLHrrirxI5Jy696/JKnlXmRl4gdjeGP0ZJ6edU7U4rd+bwtWTg6cOJHUbClODRgL+iV/1FVeRJLy/vfDiy/C6/1n0ooUns7dsvjQtsfYMmU+r4w9zfMsTG49FOsCbSz9z8eZueZRVqxdb5/EvfvddlIqP9+ewWt8dO2Dmto6VqxdH30fySqa1Wtki3cMu7WNjCGpz4xbzPl91WIKe7p4y/7tlHW2kYNFY5Hd48ey+hIvTvaNngL5+ZzbfIhel9pDc469CWPG8Mgd1/TrkXP/O/+OE6WjuP0v/4ux7Mukl762iW2T5nKsbAxVlcVsWLOSN9Zewd4738UbsTMgnnMObN0KXV3Or+GXvkR5Rwu3X/bJfj0kI/M81UurWPf+xVRVFmOwn/O69y/ut79DHmtDiZ9ggefqpVXcefWi8H4vsJoAmPuZT9iTA1x/vT2zGMRPkA2h1avmkZ8bk3TLNWq7p1FDsRI/IuniFM8GIzsTP8D7bljHnRf/fdSyg40dNBSVsW/3/n5fYOGrOg5dd926gIauDiW6v4iIo2DX/0S9fkIx6LyDO5h98iC/WvKOqOWJuF0dB7s3ZOS0yDUv1cNjj8Hzz8OZZ0at69T78eaHtiv5k2XiJQJleEt0DLu1jQIuhYfdYpBbxNk07Uxa8wu5ZO9mKtpbAKKGesU7Ae/OzeO1sVOp37DZtYfG6Sf283zpFFZ89cl+cemfrzqbtRd9jLMP7ea9O55kTOsplh7azfrZ5yV8bADOPRc6OnjywSf7vYY/+d7vsP73f/n52VewO2Jq9JBkJ1nxRayNSfyA/fnYsGYl+9ZewVeXjbEXTp3ad58lSyA3F154IXP7maSemDcj9n9JrUBRuWr8iKRB+KJwhK4ea1AX8RImfowx04wxTxpjXjHG7DDGfCa4fIwx5s/GmFeDv0cPeC8GoKmwlM68/uOlG4oqeOXlfdTU1kV9gW1Ys5Lq7kP21Jht0Q0ZtwZGrrGvEuyLvSokIhnn11gU14wZ9snE/ffHXS0Ug67b9hiNBSU8Ou+tUcsTSTQzT0j4Cv78+XDGGf1ud+spctNvtqkHUBZxSwTGSxCKd36ORbc/siNhz51+baOlVUkPj3eLOB15BTw3/Swufn0zo9qbAcI9fkaX5CdsR+0YPZ2e7duZMdZhfyyL04+9yZ5x06kLtLH6gW1R8ah6aRVH3nMNtZPnseapn/Dunc+Qg8UTc5ynce/n3HMBeP7+x6JfQ8vi5j99j1NFZfz4so863jWyfo+XpI4veuU5JH6iHDxo9wyN7BVaUmJfMPBp4uf2R3b0S8L1WvbyZAx5byyP/BCLTqnHj0hapKNmmZceP93ATZZlLQCWA/9sjFkArAGesCxrLvBE8P8h11BczujWRm68byszYgP2n/8Mzzxjj0+O4NT1GeyTKV3tFvGNrIpFYe9/v90t/o03XFdZvWoek7pbuWLXX6lZeAltBUVJDS2NN3wiVrwvDLfbeixLPYCyiFsi0GuCUBLyZSyqqa1znTI8UUPR6/D4UFIjnqdmn8f0U0dYfHgPQLjGz61X2jVuRpe4FznePf40qk4d5aWdB/vdNrH5BBUdLewJzujV1WP1O6Hf19DBrZf/IxNaGvjCkz/mSNkYdkycBcBtD++IfzI/ezaMGsXU13dGLX73rmdZduBl/vvCj9Bc4jybVWRO1UtSxxdFiCdMsH/HS/xUVdkzukU691z7O82H8cTt8++23IkvemN5N+SxKFBUpsSPSBqko2ZZwlm9LMs6DBwO/t1kjNkJVAFXARcHV/sp8BTwHwPekxRpKK5g6qkj4atRUbPbHDhgLzx0CBYtCt8ndAXqpt9s69cw1hTuIv6QbbEo7H3vg//4D7jrLrjySsdVqoGFR5+gsKeLXy9ZRVWSU4s7Td/tJt4XRrwZDUMUE/0vNMW203IZPL/Goni9RdyO+8gZTStL8inMy+FUW1fUFOaxj5EozjwVrL941StPAX09fkKP19ze7XrfPePsAs9zju2ntmp+1G2nBws7h9aB/if0hwJt1E0+nfsWXc612//ME7PPwzJ24iLQ1hWebctx5sOcHDjnHK7821+ZHuhLhpx5ZC8vT5zNs297Dw2NnY77HbkfXpI6brE2o0WICwthzJjEiZ9Y550HP/qRfTFj5sy07uJQiJe489v3nh9iUUNxhRI/Imlwyfzx3Ltxv+PygUpqOndjzAxgKfA8MDEYcADqgYkD3osUaigu58z66B494YC9P/jiHT7c737VS6u48b6tjtvUNJAi/pINsShs1iw4/3z41rfsHxdzAZYv5w8//n9JP0SoMXr7IzviXtkMXcGPPNmLPMHzmkBSTPQ39fjJHD/FonjHpVPvwVDPhtDx3tDaRXF+Lnddu8T1BNfLsX9w1EReGzOV8w/YvXFOBWv8hBJTXXFqruyaMAOApYd290/8HHsTINzjx0lRfg5tXb2su+gjzDlxgPsXXe66ruPJ/D/9E93HT1F+spXe4H7unDCDr13+SW565wLHC4QQnVT1ktRxirVDMoHIpElw5Ej438jvhqe3v0rOOecwNfY+wSFxvPCCa+LH7Tsm3SqL88PJvdjlXvmiN9YADFUsOlVUZpfQaGuDYs2eJpIqT+46ltRyLzwnfowxZcCDwGcty2o0EV9ylmVZxhjHb3JjzCeBTwJMn+7+ZZ0qDcUVjG5vsrugRuzjoUAbhBI/LtNQ+uIKjIjElS2xKMqjj8KuXYnXc6i741WoUb36/m2OJ1ahXkRA1AmH05XvUIM9x6XniJfeA5ls7Eu0KpfvsmSGBEpifotFbm2YymLn2jpuPRtuf2SH63HrpVcgwJOzz2XOSXu4VmORPdTLa9Jo14SZXLHrWX583lVRt51+fD/HSiqjpk6P7MRWU1tHW5c9m9fx0tFc8+GvJXy8fvv0/vcz9v3v51mXWPZZlwuEkXHSS1InNtYOWbycODHc46emtq7v+8OyGH/qOL8I5DIuWDMzbNEiKCiwh3t94AP9NhmbUHTsXZUmt71nYb/vwPwcw23vWeh5G9l4LjCUsShQHBz+ePKkcw8xERmQoarxgzEmHzug/MKyrIeCi48YYyYHb58MHHW6r2VZP7As61zLss4dP37gXZO8ChSXU9TdSXFXR9TyKZXFEBrq5dDjB7yPcReRoZFNsSjKuHHw1rcm/hk7dlAPs+6x3a5Jn1AR10T1JyILv379A4s9x8Qsq4swrLl1Ax5M92CJ5sdY5NaGcTvpdWs8NrR2uR63bjURYz0169zw380F9gnzqOJ8Rrn0vDCG8CxjPddeyzmHdjH11JGodU4/vp8946NPTiPz0gMpjOx2Mu9UABvck6eRy73OKuv2GBk1aVI48XPbwzvC3x+j2psp7u7gUNk4bns4pjByQYE9u5dLgeehLFxdvbSKde9fHPXar3v/4qRe22w7FxjqWBQoikj8iEjKDEmNH2OnjX8E7LQs6xsRNz0MfBRYG/z9uwHvRQqdLK4AYHR7I20FRYDdmLj5gslw6pS9kkviJ94VGF3JFhla2RaLhoKXqwPJXEFI5qp0NtVFGO7S0T1Y+vg1FiXbi6SyJN91aKjbcRta5tbzJeSFqQtpyS+ix+TQm2OfRBsDnd29juuX5Oey4z/fYf/zxiz49lqu3PkM31v+fnuZZTH3xH7uX3SZ62MO5CposslQr0O0qpdWZUfci0j8RA6Rmtx0HID68rGOQ6c491z4+c+ht7df8eehHio12NfeN72xPPBDLAoEe/Qp8SOSWkNV42cF8GFguzFma3DZ57GDyW+MMR8H3gT69/ccAqEuh6PbmjhUYc9YYAHvHhNxQuIy1AucvzCGstuqiIRlVSxK1i012/nV8wfosSxyjeG6ZdO4o3pR4jtG8NJFPdlu7F4b0UPd2B8JvF6A0HuRdr6NRcmc9MYr+VQXaGPF2vWOn7V4Q55COvPyeXbm0nBdHoBAa5frNPAtnX1ttFu2NvHeKfN5zytPhxM/VY3HKOts49U49X28DkOLlGwyNJuSAp5MmgQtLdDcHL246QRgJ34cnXcefPe7sGcPzI+uxeSWUKyMM5ub32RN4s4HsSgQvOCuxI9Iag1JjR/Lsv6K3WnGyaUDfuQ0aQgGoMq2pvCyqshhXrNmufb4caMr2SJDL9tiUTJuqdkeldXvsazw/8kkf7xcjV69ap5jDYTBdmPPxroI2SSZCxB6L9JruMSiU049OYIMhD9DTp+1kvwcWruce++EfOHt/xzVFovXwygkFAtzF1zE7X/5PnOPvcmr409j7nE7gbQ7YkavWKtXzePG+7a6JpecDCQZmkVJgcQmTbJ/19eTYyD0tTAp2OPncPk4cpw+6eedZ/9+4YV+iR+3hGKmasuPpB76fohFgeJgj58TJzLxcCIjRjou4iU1q1c2aCgK9fhpBCJOejb93l5h2TJ48MF+xZ/j0dVTEUmnXz1/wHV5Mokfz1ejY0NfCmb59s0sNWky1CcTyVyAGO7vhThL9jMar4dM7Dl67GetO87MXCEnSis5UVrZt00r8axLoVj46Py38qUnfsh7dj7D18d/mHnBxE9sj5/8iFFG1Uur2PzmSceu8W5GfDI0IvET+ZZObjpBj8nhWOloHN/q+fOhtNRO/Hz4w1E3uSUU4yUaU0U99DMvXOPnv/8bfv3rod0ZcXb66fDNb0J+9vS6k/RcxBt+iZ+SYI2ftkZyjekrqPfAfsjNhXPOgV/9ChoaYMwYT9vU1VMRSadUTr8deTU6dCJ4431bwyeC6x7bTVdP9Ha7eqxB92AcdkMgIvjhZCJdtZlkeBjIZ9QpQWjon/QJifysdfYkH5tOtXVx17VL+vU4zMG+DjdzzaPhxz5eOprnpp/Fe3Y+zdcvvIHTj+/ncNnY8AxhIdeeH50IuqN6kefEj5KhRCV+qirHhNu6k5qOc6y0ku7cPOeC1rm5cPbZ9sxeMVLWZn7xRfi//0uqq5BVW8cXOrr7L/9zHkQeB/n5sHo1TJuW3D5JP635RfDxj9szl7a3D/XuSKyuLvje92D2bLjppqHeG0lCOi7iDbvET6Cor8bPdcum9TV4DhywpxmcOtX+/9Ahz4kfXT0VkXTKdZk2Pddjr0QnbieCsb1GQlLRg3FYDYGI4IfhvroAIfG4fUZv+s02wDn545YgXPfY7kF91tySR1Mqi/s95qjifFo6ux2HgD284G2s++O3WHx4D3OP73es7xNb6yDRLIJVlcUjJhmaAzgNxosqxRyR+Fm96i3h74jJTcepLx8bv6177rn2CWVXV1RPgpQUJG1uhquusocPlZd7vtuFzZ2Onz0DsK+gb8HRozBlCqxZ432fxJkxdoJO/Mmy4Mor4dZb4QMfULIzi6TjIl5WJX5C44/jXZHqzs2jsaCE0W2NPBjZINi/H6ZPtwM92HV+zjzT0+Pq6qmIpNN1y6Y5NpSvWzbwL2i3E0G3JJMSCO78MNw3mQsQfuihJJnl9lnssay4771bsnYwF7vcTrxD9498zBVr1zvPGgU8dvoF3PH4d6l+5SnmHj/AL5a8o986kc879LmPZ8OalZ6ew3BQ4TKsrqI4YrjH2LF27536+qi27sTmE9RPnO44DX3YeefBXXfBjh329O5BKSlIetttcPAgPPccvOUtnu921dr1jknLqsri6Pd+/HjYt8/7/ohkK2Pg29+GhQvhs5+1y51I1kj1BdWcxKv4R68Fb6y9gruuXUJVZTEGHLugBorLqWxrim4IhRI/kyfb/8eZ2ctJ9dIqNqxZyb61V7BhzUrHmb9WrF3PzDWPsmLt+oRXnUREQu6oXsQNy6eHe/jkGsMNy6cnPatXpHgngsX5uVHL1IMxPrekWCaTZdVLq7jz6kVR331uJ2XxeijJ8BTvs5jse5/MZ80rC+fEU7zkaWNRGU/POpdrX3qc4u4Odo/vX9g58nk7fe5HMk+1dnJz7STIkSNAX1t3XtcpLlq5NP57HirwHDPcy61ulOcZ1156Ce6+Gz7xiaSSPmAnFz19v82aBa+/ntS2RbLWzJnwxS/CQw/BH/4w1HsjQyirevyAPQZ8VHF+VF3m2GKBJ0sqGN3WxJTKYmpq6/jaH3ey/s0D/HjiOXzzu9vYCezYsouFH03NPunqqogM1h3ViwaV6InlNjSoKmI4h3oweuOX4b5er/z4oYeSZJbTZzRSsu99os9alUt8cetR6FgnhsRTsD98xtt4+6sbAXg1Zkav2GNQn+9onqdVnzQJ6usBuz37Pw/X8udTp/ifV9upqq1z/xzMng2VlXaB53/4h9TsdG8vfOpTMHo0rF2b9N0999CfNQs2bUrFHotkh5tugp//HP7lX+Dll6GkZKj3SDxI9cQiWZf4sSAqyVMXaCM/15CfY8LFAgNFFYxtb+SS+eO5+aHtlDUco6C3m4Pl42krKKKxoIQtG3fyarwvtCT4of6DiEik1avmsfqBbVGFnPNzTfhLQ7HJu2wb7qt6QCNP6LN402+2pXwop1PD0y0Zes05Vdz3wgHHuOPEbTuh//8y53xa8oso7Wrn1bH20FcTfD6xx2CiJNLo2ITHMHfKIenjuDyY+AldxJxSfxCAPXkVfCfeRUxj7Do/L7yQup2+5x57eNc993iuwxnL0/fbrFlw//3Q3Q15WXcqJJK8ggL47nfhkkvgK1+xf8TX0tGxxFfRbmJ5AUeaOpO+X1ePxeiSfEoK8jgUaKNjVCWzOo/x5K5jtHX1MK/RHld8qMIuLHesbAxjG4/zXylKzOjqqogMVlqmC489/0t+Ih4JyqZkmV96KElmhT6fqXzv3Rqed169iDuvXtQvZgHct+lA1Da6eiw2v3kyqQLT92/ez4a9J2nPL+KRM97G0kO7aCksYcXsMfziE87Df9yKCofceuXCAb0G2cqpsLPj8kmT4OWXwxcxJzadAKC+fFzii5jnngtf+5o9m1NR0eB2+Phx+Pd/hwsvhI8OvEu+p+/SWbOgp8ee+GXmzMHtt0i2uPhi+PCHYd06mDBh8MespNWeP+3ivcHOLrvGz+DFqjMG3bHEV4mfgSR9QgKtXdR+6e32P22P0/XjTeErP5ODiZ/DFePsxykbw4TmhoSJGa8nYrq6KiKDkY6s/rrHdkdNmQzQ1Tv4advF/7Kth5KkTqrf+3g9mp3qHa5Yu75f3AH4xcb9nHvaGM8FpiNrEn3p8k9R0GM3ft844d5uS1Q8WJ9/F5MmwZEjHGpoAZPD5GDi53C53WaOW5vnvPPsXjM//znMmQPAW958yX39J+MML/nBD6Cx0Z4pbIAzWnr+Lp01y/69b58SPzKyfO1r8MQTdqFn8bV/j/j7B+e9lxerzgAG17HEV4mfwYhMsuzszOeM5ibyerrpzs1jSjDxU1cxAYCjZaM5u24XOcZQ4zLcK5kTMV1dFZHBSMdw0aHoiZiWXksyINnUQ0lSK5XvfbKFet3iiwVJxbPI7XTm5dOZlx93+4luc6sxJNiJn64uxnS0cKKonElNxwE4Uj4WIDzpgKPlyyEnBz75yfCiX8V7rF8n2Jc1a+zZhwbI83dpKNnz+uuwcuTM9CbChAmwdy80NAz1nkgC7/n2Xznc2A5AW35f76zBdCwZFokfg93FN+TRQ12cAYxua+JY2WiqGo/RXFBMY2EpAEfKxjKhpYGe3l7XZE4yJ2K6uioig5GOJE2meyKqyL3I8ONWrNktGRCvzo7nWZ3ibCde/HK7T+RU8uJg0iQAxjSd5ERROZObjnOiuIKOvAIAx/c/bMoU2L4djvX1trr2+39zXf2+f4wzS1dREZx/fnL7HsPzd+nUqXZtH83sJSNRUVHfLNfiW2edP5+XHIYvR+Y8kpWViZ/i/BzauvpGKVvAvRv38+hLh7n1yoW8gZ0Vq2xr5FjZaCY3Hbe7rAYbKkdLR1PU3UlFRwuNpozP3reVdY/tjkrWJHsipqurIjJQ6UjSZLonoorciww/bif9bstXr5rHZ+/b6nhbKFnkpWfg6lXzWH3/tqhhY/k57kWiwb3GzwWznYeYSVAw8TOpNcCrnMakpuPh3j6QoMcPwIIFUf9u/lOLe7LwoosGv79xeP4uzcuD005T4kdEfOv32w67Lh/oLMA5g9mhoTKmtNBxeUNrFzc/tJ2uUaMBGN3eBMCUxmPhws4AR8vsmQImNJ8MLwtdna6prbPvE2fqURGRVFq9ah75udGN63gz4XhRvbSKO69eRFVlMQZ7qMOdVy9K2wmQityL+ENNbR0r1q5n5ppHWbF2fbhdMxBuQ6TclseLLz2WFe4ZWBdow6J/2yu0/7c9vKN/raAE+Qe3Gj/x6gIJfT1+gm3iSc0nw/V9IEGPHwfJJgtTafWqeRTn50Ytc73gMWuWEj8i4luRs5h7We5F1iV+qiqL455ItHX1cKq0AoDRbY2Anfg5UjkhPJVnKPEzMSLxE7pvqKBgUl8eGZLKxpyI+EwaZuCqXlrFhjUr2bf2CsdCrKmkZLnI0POSWEnGQNpC8ZJF8XoGRu6/U8O2q8eKKvocS8nnAZo4EYA5vc0ATGo6Tn1Ej59k6yMlmyxMpaQueCjxIyIjTNYlfuoCbeQk6Hb6prFnDRjT3kxhdyfjWwMsWn4mt165kOL8XI449PgJCTUQMn21PJFUN+ZExD/izcCVLfyYLBcZaRIlVpI1kLZQvFiQKDnjtP9O6zlxSzKXFOQ6LpegUaOgsJB3jDOMMj2Maz0V7vEzkBiejh6syfB8wWPWLDhxwp5JTETEZ0IdVrwu9yIra/wk6i7aUFwOQGXrKWa02VXLz1h2JmcEg/93HrYbFRNa+id+IhsOfqrbo/oZIsNXpq9Up2P2LRW5Fxl66Yglbm0htzgSLxase2x33BosifYzXg/C1avmcdP92+iJSaK3dPZwS832AddEGPaMgUmTmGu1sO4CO+FTXz6OqsHE8DT0YE25yCndFy8e2n0REYlx65ULWf3ANrp6Imrd5RpuvXLgMx9mZeInkfb8ItrzCqhsa2LMyXp74fTpQF8DpmtdGVWt0VPZ+fnqtLowiwxfmZyBK52zb/kpWS4yEmUqliSKI26xIFHR+XizgiVqo1UvreJGl8LSv3r+gBI/8UyaBPX1vL3Sfl++9tl3weUDm+Y8Xg9WX30/RE7prsSPiPhMOi6oZt1QL68aisoZ3dbIlMbj9oJp06Juz6+awspRvb4ZypWI6meIDF+ZHCaV6qEgIuIfmYolA40jiYaOOe0/QI6Ba85JnFh261iSicLCWS2Y+PnOz9YDcOl9e5mx5lGu/6H71OxuhvpCped6mKEeP6rzIyIjxLDs8QPQUFLB6LYmpjQetRdMnRq+raa2juldxfTs3Asr4a5rl/g24ROS6amZRSRzMjlMaqgb5SKSPpmKJYOJI/F6BoaW3/bwjqgCz70WPLiljnNPiz81e64x7lOJi7tJkzi1/mkax74JEC7uvGHvSa7/4d/4xSfe4nlTo4rzHYtzjyoeeF0Kr5Lq0Tp6NFRWKvEjIr6Ujh76vkr8FOfn0NbVm5JtNRSXU9nWxPTmE7SPHU9RURHQ9yKuLapkccOelA5zSCfVzxAZ3jI1TCqTw8pEJPMyEUvSGUdCtYBikwde6hpet2wa927c77h8pFkxewwb9vavZbli9pj+K0+aRHnTKaadOkJjQQkthSXhm5y2EY9bji0Tubek62G6zOyVjjp4IiLJSEd9X18N9brmnKmJV/KooaiCMW2NTGk6RtvEKeHloRfxaNloezp3y8qaYQ6ZnJpZRIYnzb4lIoOV7jjiVufHbXnIHdWLuGH59HAPn1xjuGH59BFZ32fHoSbvyydNIgeLhUf2ciRiKveBCLT27+0Tb3kqJd0TzSHxo1l0RcQPBvo9GI+vevw8uetYyrYVKC6nsq2RXmPYOHYan//Px7nirMnhF+tI2RiKuzso72ylqbA0fvfkI0fs6S6DvYbi0VWCgdNrJyNZpj7/6j0oIoOVzjgS7wTby5CtO6oXjchETyyn4VauyydOBGDB0X1smjrwGWNgaHuVJv3Ys2bBww9Dby/k2NfCNYuuiPhBOoYu+yrxM5gMVqyG4goq25sp6u7kmZln09DaFdX992iZ3dV1QtNJmgpL+38pvPEGPPAA3H8/bNoEn/40/M//xH3MdM6WM9zptZORLNOff82+JSKDlY44EoqFblSkOU0mTQKgqLszXN9noIayJmXSjz1rFnR2wqFD4VqgqoMnIn7g9n03mO9BXw31SmXxvYbiCnKtXkq72jlUPq7f7eHET8tJ8nNM35fC3r2wbJk9zePq1dDTA/Pnw+OPJ3xMzZYzcHrtZCTT519ExDkWRqrMQIHgESmY+AE4HNNmHl2S3GueaOa2dEr6sSOndA/SLLoi4gdVLjHHbbkXvkr8JJPBMsANy6dz97VLHKf+bCguD/99qGJ8v9uPlgYTP80n7Y2FfO1rsH07fPWrdhJo82b4+Mfhtdegvj7uPukqwcDptZORTJ9/ERkp4k23nSjmtXZ2p3v3RqbgUC+A+pjEzxVnTc703gxKUvUwHaZ0Vx08EfGDdMQiXyV+krmSY2HXBApl93NiOgslSvwcCfb4mdh8kq4ey76y3tVlD++66ir493/v+0K48EL797PPxt0nXSUYOL12MpLp8y8iI0GiwrmJYl5nj4Z6pUVJCc2FpQD9hnolW3+zpraO1Q9si3qPVz+wzZ/FkadPt2v7RCR+hrLHkohISDpika8SP8mO9DoUaKOmto7bH9lBb0xbIFBc0beeQ+KnpbCElvwiu8dPcFusXw/Hj8MHPxi98tlnQ0lJwsSPrhIMnF47Gcn0+ReRkSDRsFanWCiZcbS0Euif+Em25+ntj+ygKyZB19VjcfsjOwa1f2lRUADTpvWb2Uuz6IqIH6Q6FvmquHOyUz2OKs7vV8Qt5GQw8dOZk8fx4JdZrCNlY+wp3QEM7P+fHzF91Ch4xzuiV8zP59jCpTQ88EdWlTzqOHtFaEaetq6ecBXuKs2W45lmGpKRTJ9/ERkJEg1rDcW8z9631XG9FJaClBinRo2Fk3X9avwk2/O0waUt77Z8yDlM6S4iMhz5KvHjNg2jm66eXtcigIHgUK/DFeOwjHPHpmNlY5jQ0gBAQVcnox9/lDdXXclphYVR69XU1nGwaAafPvwcZR0t1AWImnEndkaeHssKX63XiZt3mmlIRjJ9/kVkuPMy3Xb10iru37yfDXtP9lvvgllj0rp/I1nelMm0H9hFoKg8avkl8/v3mh9WZs2CRx8d6r0QEUk7Xw31SnZYQ0un+8wPjYWldJucflcuIh0pG8OE5hMAXPT6Fso7Wrl77Nn91lv32G6em3IGOVicc3AnEN01WTPyiIiIiMTndVjrGyecLwK6LZfB+8308/nl4nf061aVbI2frDNzpj15S2treFG8AuQiItnKVz1+UsoYjpdWcmDUJNdVjpaOZkJzA1gWV+58hhPFFTw8bj53xax3KNDGySnz6crJ5byDO3hq9rnh5ZG/Y2lGHhERERGb12Gtbr2/k+kVLsm5d/oyrOnL+i1Pti07uiTfcVhXstPCZ0xoIpd9+2Dhwn69+EMFyAH1yhWRjAqVkklVGQhfJX5SXfjtU9Wf50i5e7fgI2VjKe1qZ3xLA5e9tokHFl1Kb04uNbV1US+q3TUZdkyczXkHd0Qt77s9+ouxtKOV6mM7gCscHzvVb6SIiIiI32lYqz9VuiRsKpNM2Fxx1mTu3bjfcbkvRU7pvnBh3F78+tyKSKakIwntq6FeAy38lmsMTvX+aqvmc6higuv9jpaNBuD6rX+kuLuDh894Gxb0G6IV6pq8aepCFh/eQ2F3Z1TXZKeuy/+8+bd85Re3w9at/R430XSmIiIiIiKZ0u5SM9NtuRu3oWG+HTIWmfhBvfhFxB/SUUrGV4mfgeq1LPatde5ZE8/RMrs30A21f+Bw2Vg2T10A9A/u1UuruPPqReydv5TCnm4ubXqTO69eFM62hW6vqizGAFWjivjIG8/Zd37qqX6Pq5pAIiIiIuIXbV29SS13k3WJk3HjoKwsnPhxm8Us2dnNREQGIx2x1FeJn8rigY3/tYAVa9cnPc1nKPEzrvUUvz/jwvDsX5Ul+f2KulUvreKrd30agO/OaOvXxap6aRUb1qxk39or2LCyjLKDb9o3OCR+su5LUUREREQkgaxLnBgTNaW71wLkIiLplI5Y6qvEz23vWUh+TpLZm6C6QBuWldx9QokfgIfPuAiA/FxDc3u38zCssWNhwQJ49tn4G/7lL6GwEN73PnjmGeiNvlqSdV+KIiIiIhni1hQcYBNRPHArvpxsUeasTJzMmgWbNsHnPkf1z7/OI/seYu1f7+G8gzuoqiyO6uUvIpIJ6Yilvkr8VC+tYt37F1OVoQRIU0EJrfmFvFk5mZcnzaGqspjSgjy6eqMzSFHDsC68EDZsgB6XMc/d3fDrX8O73w1XXQUNDfDSS1GrZOWXooiIiEgGFOY5N0/dlsvg3XrlQvJzozNr+bmGW69cmNR2+pU/yIbEyapV0N4O//d/8H//x5yHf80HX3qc+99WyYY1K/297yIyLKUjlvpqVi/om+1h5ppHcevAU+Uwi9aAGMMDZ17G9klz2PfVdwMwc82jjquGh2FdeCF8//uwfTssWdJ/xfXr4ehR+NCH4Lzz7GVPPRW1rtfpTEVERERGmnaXujJuy2XwUtk2zbqZ2/7pn+wfEREfSXUs9V3iJzTNebykz4Y1K1mxdn1Kkj9fevunorqxOk3NDpBjDDPXPMpScngI7OFeTomfX/wCRo2Cd72Lmp0nOHfMFF757n3c3n5W1Bdo1n0pioiIiGSAW1ssU0PiQ23RkXZxTm1TEZHhy1d9ZiOnOXeSn2No7exm5ppHaeno7tcldaACrV3hqdSdhmEB9FgWFvAiFRyqmEDdI4/331BbGzz0EFxzDTU7T3DzQ9v569QzOf/AyxxqaNGU7SIiIiIJDOWQ+Mi2aL9aj8NcTW1dv8lNRERkePBV4sdpmvOQyuJ8MNDQ2oUFBNq6wOorOhebAirOz/U8S5gF4S/16qVVXHNOVb/tRXp+6gIKNz5Hv2rSjzwCzc1w/fXh57Jx+iIq25s54+gbmrJdREREJIGhrBPj1BYdCe23kZzwEhEZCXyV+HGbztwApYV5dPVEJ1q6ei1KCvJ4Y+0V3HXtkn4NhGRmCYv8Un9y1zHXoWYAz522mHFNJ+FTn4KOjr4bfvlLmDIFLroo/Fyen3YmAMv3b4/7HEVERETEVr20ig1rVrJv7RUZLbDr1k4b7u23kZrwEhEZKXxV4yfemO5EX8RO45Jrauv6dwWKI7StRF/uD565krNaj/Dh738ftm2DBx6A4mL4wx/g//0/yM0NP5fDFeN5o3Iyyw9s58fnXaUp20VERER8aqjrCw2VkZrwEhEZKXzV4yfemG63L9x4X8TrHtvdr5dQPKFtJfpyLywsoPyur9kJn5dfhrPPhjVroKsLrr++33PZOH0R5x94mZI8oynbRURERHxqKOsLDaWBtLNFRCR7+CrxE29Md7JfxDW1dUnN+hW5LafHCnUcyjUm3PW1ZtZy2LQJRo+GH/4Q5s2DpUv7PZfng3V+/ufMPF/OlqBifiIiIiJDW19oKI3UhJeIyEjhq6Fe4D6VZGiZl+k1QwXqvKqK2FZoCs+2rh5yjaHHsqiqLOaS+eN5cEtdePxzqOgdVy+ietMm+Pzn4dJLwfSNLQs/lwNz4fdf55L6V4C3J/mKpFfoter3vGDYN3JEREREYo3Eac2TaWeLiEj28V3iJx6vX8TxZgeLVVVZzIY1K4H+SZAeywpf7YhX9K56zUr4znfcH2TaNJg9m8O/+xPvaz8r6gs1tL9D9SUb93npy15ERERkRBiJCS8RkZEiqxI/XnktRBfbhTVeEmSwRe/eWHQelX/6PYfOb8EyOdQF2lj9wDaw7NnJwO5ts/r+bdz+yA4CrV0ZSQSpmN/IFurhpqt7IiIiIiIiw5OvavykilshutEl+a5jtuPVBKoLtJFjnKcHqyzJ91Qf56cFM6hsb+aMo2+El3X1WOGkT3hZr0VDaxcWfcOu0llzR8X8Rq5QD7e6QFvGPm8iIiIiIiKSWQkTP8aYHxtjjhpjXo5YNsYY82djzKvB36PTu5vJcStQd+uVC9mwZiX71l7BhjUro5I+iWoC9Vj9ZwfLzzU0t3d7OnF+bKzds2j5fu+1h6Cvx1G6qJjfyBWvh5sfZWMsEpHhSfFIRPxAsUhEvPLS4+cnwDtilq0BnrAsay7wRPB/30h2RoZkagLlGhPeZmlBXr8eO24nzmb6dHaPm8512/5EXk+35+dyyd4X+Pp3PwMXXBD/593vhldecd9QTQ1ccw3s2xe1eKTOXiFZOczvJ2RZLBKRYesnKB6JyND7CYpFIuJBwho/lmU9Y4yZEbP4KuDi4N8/BZ4C/iOVOzZYyRSoS2ba917LYt/aKwCYueZRx3WcTpxXr5rHN2s/xnd/czs31P6Bn5z7HvJzTVSNnyiWxac33s+/PfNz6sZO+f/snXl8FdX5/98nySW5CVkhIEQQRAREBBSrltq6FqtVqba1drOt3Vdtv7Ta9vet9uu30tJau3+719rWujbi0qIWbV3qhgERAWUTCFsgCyH7Mr8/zp2bu8zMnbvP3Dzv1yuvJHPnzpyZOec553zmeZ4DYyc5F+y552DRIp1k+qMfHVldrLcX/uu/4Gc/0/8/9RQ88AC86U3hr0oyv9HJ5JqgZd33apifX22RIAiFh9gjQRC8gNgiQRDckmpy54mGYewN/b0PmGi3o1Lqk8AnAaZOnZri6TKDVSJbAAVYSC+WVAcD4b+TmTgvXdgAX/s4z7/0INc+9WeeP+MCPnmZFl/MMlUHA3T1D1Lc28OKh3/ExZue5MG5Z2H86tdMefNxzgXbuxc+9CG4+mr45z/hF7+Affvgiitg7Vq49lotCC1dCmedBX/+M7zrXS6vWihEli2ZFbWKHfgyzM+XtkgQhILElT0SWyQIQpYRWyQIQhxpr+plGIahlLLVTQzD+BXwK4BFixa51VcyTuxS7WY+ntKSIlvRpwgYjtnW1T9IY1MzSxc2JD1xXnry0dB4G8yfz8OHHoWFWniJ9LZZ9fDzTPvEB5i5Zys/v+DjTP7fb+nvJWLSJFi1CpYvh//+b/jPf+DAASgr0x4+73yn3u8//4FLLtFhXz/4AVxzzYh3kDCqMOtdoazqlUlbZCcGS0sRBMENTvbIK+MiobCRfkyAzNkiqU+C4H9SFX72K6UmGYaxVyk1CTiQyUJlA7tEtk65farLA7R1D0RtGxgyWLFqc1R4VFIT57lz4bOf1aFXn/kMzJs38tmjj7LkqvdDfz88+ACfveii5C6yuBi+8Q1429vgAx+AU0+F22+HoyOEowkT4PHHtXfQl78Mt9yiv2dSUQHveAe8+91w2mkiChU4BRDmlxVbZDf6kRmaIAgO+G5sJBQu0o+NajJui6Q+CYL/SVX4WQlcBSwP/b4/YyXKEskmrG2oCbpKfpvSxPmGG3So1Ze+pMOyhofhppvgxhvhhBPgnntg9uzkjhnJW96ikzgrZS3cBINw113wwx/C+phVxvbtgx//WHsDTZmiBaC5c1MvS7pMmqSFqHwIUG1tsH9/7s+bL6ZPh9LSfJciWXxniwRBKFjEHgmC4AXEFgmCEEdC4UcpdQc6Qdh4pdRu4FtoQ3KXUupq4A3gvdksZCawy8dTWx6gd2DYMlxrxarNKSe/tconFBaI6urgf/4HPvc5+PWv4d574ZFHtBfOL36hvW7SpSjBgm1FRfCVr1h/1t4OK1dqAepnP9MeSPnk97+Hj3wkd+fbtQtWrNDPprc3d+fNNxs3pic4Zplc2qIiBVY514vEAU4QBApnbCQULtKPjQ5yZYukPgmC/3GzqteVNh+dm+GyZBW7fDzfulh7s9iJNLHfUcDZs+sdz2WXTwgi8vl88pNa5PnUp7SXxa9+BR//uDdCq2pq4MMf1j9HjmjPl3xgGFoMu+YaOP98aMhySNLWrfDd78If/qDP/eEPw3nnpf1MXtjRyl+f30n/4EjGqDElRbzvTVM5dVpdmoXOIJMn57sEjuTSFs2or+D1A12W2wVBEAplbCQULtKPjQ5yZYukPgmC/0k7ubOXifW6ufyUBh7f1BIn8DQ2Ndt+NzYHkAHcu6aZRcfU2YZ42eUTMnMDAVBSoj1KvvUtnZB54cKMXHPGGTtW/5DAiylb/O53Og/SJz8JDz4YL8L87Gfwta9BX1/65xoc1CLcJz4BX/0qHHNM+scErlm+mubj44/1LEGeft85GTmHkFm2WAxunLYLgiAIgpeQfkzIJFKfBMH/FKzwY+V1c++aZm6+bF6UWGG137K714HSiZyt6BkY4it3rQOwFD7c5AYC4PTTYdUqLagsX+3plZVceTFlgxkztDD2pS/BbbdFh3ytWKEFmnPP1Ymo06WyUnv5ZNjzxXV9EDyDJDEUBEEQ/Iz0Y0ImkfokCP7Hc8JPprxKXHnd2Ow3YBXEGsOQYdgKH3b5hKxyA+VNUEkSt/czK3z+8zrfUGTI1//8j162/r3vhT/9CQKB7JYhDZKpD4IgCIIgCEL+yIuHuyAIQpZJkAE4t5giSHN7DwYjIohVKFYi3HpZpON1YQofsSxbMotgoDhqm5kwOhYnQcVL5NVrpahIh3z19+uQr298Q4s+H/qQXh3Nw6IPJFcfBEEQBEEQhPyQybmIIAiCl/CU8JNJEcTOmyJ2e7peF1bCx9KFDdx82TwaaoIo9NLwsSFmTt932p4v3N7PrHHccXDzzfDww/Cd7+g8PH/4g86V5HGSqQ+CIAiCIAhCfvDLC1lBEIRk8dSsOZMiiN0qXrFeFlb7BYqUY46fSOyEj6ULG1xN7P0SBuT2fmaVL3wBXnwRpkyB//1fb6yA5hK39UEQBEEQBEHID355ISsIgpAsnhJ+MimCmJNspxjdyJW7ipViyDBoCO0X+92zZ9dz75rmtIWP2LjhTB0327i5n1mnqAhuvz135xNGLRVjiunqH7LcLgiCIAhe54OnT+VPz+603C7Y45cXsrlGxkWC4H88Jfxk2qvEycsiNqnykGGEzxWb/HlPew+Pb2qJWg6+pjyAYcC1d67lhpUbUArauwccBRG7lcbslpn3GuK1IowWFkyp5umtrZbbBUEQBEEoTDzh4e5BZFwkCP7HU8LP0oUNvPhGK3c8t4shw6BYKS4/JTtiQ6JVqpyWgweiPmvvGQgfw2lVLrtzPr6phaevOyezF5hHZDUEwe9YDW6ctguCIAiCl7Dy9jG337R0Xo5L4x9yORfxEzIuEgT/46nkzo1Nzdy7ppkhQ+fWGTIM7l3TnJVM+olieJ2EIavPrPZL9pyFgKyGIAiCIAiCIPiRXM5FBEEQcomnhJ9cZtJPtEqVk0jjRqix2ifvK2PlAFkNQRAEQRAEQfAjMo4VBKFQ8ZTwk0uPmGVLZhEMRCcki4zhdRJp3Ag1VvskOmchMBq8mgRBEARBEITCQ8axgiAUKp4SfnLhEdPY1Mzi5au59s61lJYUUVseQAENNUFuvmxeOIbXSaSx+sxqv1iWLmzg5svm0VATtDxnITAavJoEQRAEQRC8zJhildR2QSPjWEEQChVPJXfOdib92ITN7T0DBAPF/PCKBXHii5vly83PqoMBV6t6mcctJKEnFlkNQSgEFs+os0xYuHhGXR5KIwiCIAjJ8d5Tp1gmeH7vqVPyUBr/IONYa2RcJAj+x1PCjxuxJR0SreRlVZ7RKuCkSrafoSDkgh2HrF267bYLgiAIgpd4fFNLUtsFjYxjrZFxkSD4H08JP5BdQUXidnODiGKC3xFbIQiCIPgZ6cdSR8ax8Uh9EgT/46kcP9nGy3G7Zu6h6dc9xOLlq2XZSEHII162FYIgCIKQCOnHhEwi9UkQ/M+oEn68uqqWmXuoub0HA2hu7+H6+9aL+CMIeeLs2fVJbRcEQRAELyH9mJBJpD4Jgv8ZVcKPV1fVcso9JAhC7pHcCIIgCIKfkX5MyCRSnwTB/3gux0+28WLcrsTNCoK3kDYpCIIg+Bnpx4RMIvVJEPzPqBN+vMjkmiDNFoYz13GzjU3NsopBAuQejQ680iYFQRAEIRWkHxMyidQnQfA/oyrUy6t4IfeQ5BlKjNyj0cO0cdYDGbvtgiAIguAlpB8TMonUJ0HwPyL8eAAv5B6SPEOJkXs0enh2W1tS2wVBEATBS0g/JmQSqU+C4H8k1Msj5Dv3kMTuJkbu0ehhyDCS2i4IgiAIXkL6MSGTSH0SBP8jHj8CYB+jK7G7I8g9Gj0UK5XUdkEQBEHwEtKPCZlE6pMg+B8RfgTAG3mGvI7co9HDladNSWq7IAiCIHgJ6ceETCL1SRD8j4R6CQDhMDNZscoeuUejh5uWzgPgjud2MWQYFCvFladNCW8XBEEQBC8j/ZiQSaQ+CYL/UUYOYzMXLVpkvPjiizk7nyAImUcptcYwjEX5Lkc6iC0ShMLA7/ZIbJEgFAZiiwRB8AJOtkhCvQRBEARBEARBEARBEAoUEX4EQRAEQRAEQRAEQRAKFBF+BEEQBEEQBEEQBEEQChQRfgRBEARBEARBEARBEAoUEX4EQRAEQRAEQRAEQRAKFBF+BEEQBEEQBEEQBEEQChQRfgRBEARBEARBEARBEAoUEX4EQRAEQRAEQRAEQRAKFGUYRu5OplQL8IbL3ccDB7NYnFxQCNcAch1ewgvXcIxhGPV5LkNaFLgtkvJmFylv9kmmzL62RwlskR+endfL6PXygffL6PXygTfKWMi2KBYv3O9kkPJmH7+VuZDLa2uLcir8JINS6kXDMBbluxzpUAjXAHIdXqIQrsFv+O2eS3mzi5Q3+/ixzNnAD/fB62X0evnA+2X0evnAH2UsJPx2v6W82cdvZR6t5ZVQL0EQBEEQBEEQBEEQhAJFhB9BEARBEARBEARBEIQCxcvCz6/yXYAMUAjXAHIdXqIQrsFv+O2eS3mzi5Q3+/ixzNnAD/fB62X0evnA+2X0evnAH2UsJPx2v6W82cdvZR6V5fVsjh9BEARBEARBEARBEAQhPbzs8SMIgiAIgiAIgiAIgiCkgeeEH6XUBUqpzUqpLUqp6/JdHrcopaYopR5XSr2qlNqglPpSaHudUupRpdTrod+1+S5rIpRSxUqpJqXUg6H/pyulngs9kzuVUmPyXcZEKKVqlFL3KKU2KaU2KqXO8OmzuDZUn15RSt2hlCrz4/PwI36wRX60O36zL36zJV63GUqp3ymlDiilXonYZnk/lebHoXK/rJQ6OV/lzjVetz9KqR1KqfVKqbVKqRfzXR5Irm55qHw3KKWaQ/dxrVLqwnyVL1QeT/cpDuXz1H0sFBLZIaVUaahP2RLqY6bloZiR5UlU3i+H6s7LSql/KqWOyUc5I8rjys4rpS5XShlKqbyuQuWmvEqp90a0z7/kuowxZUlUH6aG7ElTqE7k2/7G9RExn6c/JjIMwzM/QDGwFTgWGAOsA07Id7lcln0ScHLo70rgNeAE4HvAdaHt1wHfzXdZXVzLl4G/AA+G/r8LeF/o7/8DPpPvMrq4htuAj4f+HgPU+O1ZAA3AdiAY8Rw+4sfn4bcfv9giP9odv9kXP9kSP9gM4K3AycArEdss7ydwIfB3QAGnA8/l+x7n6B553v4AO4Dx+S5HTJlc1y0Ple8G4L/yfe8iyuPpPsWhfJ66j4Xw48YOAZ8F/i/09/uAOz1e3rOB8tDfn/F6eUP7VQL/Bp4FFnm5vMBMoAmoDf0/wePl/ZU5HgrZkR35Km+oDHF9RMznaY+JvObx8yZgi2EY2wzD6Af+Clya5zK5wjCMvYZhvBT6uxPYiB6EX4qeOBD6vTQvBXSJUupo4CLgN6H/FXAOcE9oFz9cQzW68fwWwDCMfsMw2vHZswhRAgSVUiVAObAXnz0Pn+ILW+Q3u+M3++JTW+Jpm2EYxr+B1pjNdvfzUuCPhuZZoEYpNSknBc0vvrA/XiPJupVzbMrnKbzepziUT8g8buxQZL24Bzg31K/ng4TlNQzjccMwukP/PgscneMyRuLWzv8P8F2gN5eFs8BNeT8B/MwwjDYAwzAO5LiMkbgprwFUhf6uBvbksHxxuOgj0h4TeU34aQB2Rfy/Gx8a9JCr40LgOWCiYRh7Qx/tAybmq1wuuRX4KjAc+n8c0G4YxmDofz88k+lAC/D7kPveb5RSFfjsWRiG0Qx8H9iJnrx1AGvw3/PwI76zRT6xO7fiL/viK1viY5thdz991w4zhB+u2wAeUUqtUUp9Mt+FccCTbTWGz4fc9n+Xz1C0WLzep8SUDzx6H32MGzsU3ifUx3Sg+/V8kKzdvBrtPZEvEpY3FMozxTCMh3JZMBvc3N/jgeOVUk8rpZ5VSl2Qs9LF46a8NwAfVErtBh4GvpCboqVM2mMDrwk/vkcpNRa4F7jGMIzDkZ8Z2k/Ls8uoKaXeCRwwDGNNvsuSJiVoV7lfGIaxEOhCuyaH8fqzAAgNXC5FTz4nAxVAPo2o4FH8YHd8al98ZUsKwWZ46X4KjrzFMIyTgXcAn1NKvTXfBUqER+vWL4AZwAK0WPuDvJYmhNf7FIvyefI+Ct5EKfVBYBGwIt9lsUMpVQTcAnwl32VJghJ0uNdZwJXAr5VSNfksUAKuBP5gGMbR6DCq20P3vWDx2sU1A1Mi/j86tM0XKKUC6I7oz4Zh3BfavN90wwr9zqfbWyIWA5copXagXeLOAX6EdiUrCe3jh2eyG9htGIb5Fuge9OTNT88C4Dxgu2EYLYZhDAD3oZ+R356HH/GNLfKR3fGjffGbLfGrzbC7n75phxnG89cd8i4zXfn/hnar9yJebasAGIax3zCMIcMwhoFf44H76PU+xap8XryPBYAbOxTeJ9THVAOHclK6eFzZTaXUecA3gEsMw+jLUdmsSFTeSuBE4InQuOl0YGUeEzy7ub+7gZWGYQwYhrEdnYNrZo7KF4ub8l6NzoGIYRj/AcqA8TkpXWqkPTbwmvDzAjBT6RVIxqATha3Mc5lcEYpp/S2w0TCMWyI+WglcFfr7KuD+XJfNLYZhXG8YxtGGYUxD3/vVhmF8AHgceHdoN09fA4BhGPuAXUqpWaFN5wKv4qNnEWIncLpSqjxUv8zr8NXz8Cm+sEV+sjt+tC8+tCV+tRl293Ml8OHQShanAx0R4SaFjKftj1KqQilVaf4NvB2wXIXEA3i1rQJhEcXkXeT5Pnq9T7Ern9fuY4Hgxg5F1ot3o/v1fHmDJSyvUmoh8Eu06JNvEdixvIZhdBiGMd4wjGmhcdOz6HLnaxVFN/WhEe3tg1JqPDr0a1sOyxiJm/LuRI+TUErNQQs/LTktZXKkPyYy8pi92uoH7Wr1GjoT9zfyXZ4kyv0WtOvry8Da0M+F6FjXfwKvA48Bdfkuq8vrOYuRVXeOBZ4HtgB3A6X5Lp+L8i8AXgw9j0ag1o/PArgR2IQexNwOlPrxefjxxw+2yK92x0/2xW+2xOs2A7gDHYoxgH47eLXd/USvXPGzUBtcTx5XNMnDffKs/QnVp3Whnw1eKV8ydctD5bs9VLdfRg/qJ+X5Hnq6T3Eon6fuY6H8WNkh4NtoAQL0RPnuUN/yPHCsx8v7GLA/ou6s9HJ5Y/Z9It99oIv7q9Dhaa+G2uP7PF7eE4CnQ33ZWuDteS6vVR/xaeDTEfc3rTGRCh1IEARBEARBEARBEARBKDC8FuolCIIgCIIgCIIgCIIgZAgRfgRBEARBEARBEARBEAoUEX4EQRAEQRAEQRAEQRAKFBF+BEEQBEEQBEEQBEEQChQRfgRBEARBEARBEARBEAoUEX4EQRAEQRAEQRAEQRAKFBF+CgCl1Cyl1FqlVKdS6ov5Lo8gCILYJUEQ8oXYH0EQvIbYJSHfiPBTGHwVeNwwjErDMH6c6kGUUk8opT6ewXIlOt9ZSilDKfXzmO1PKaU+EvH/0UqpPyulDimlupRSzyul3hn6rDj0/zci9i9WSr2glPqvXF2LIAhx+NkuDSuljoQGZ5uVUh+N2cdQSh1QSpVEbAuEthm5KqsgCLb40v5EnHd6yA79wuKzSqXULUqpHaEx0U6l1D1KqdMi9jFCnx2J+Plqbq9CEIQYfGmXYsZFR5RSu5VSdymlTo3Zz1BKHRf6u0Yp9Tul1L7QWOo1pdR1uSqzYI0IP4XBMcCGfBcichKUBF3Ah5RS02yOWQc8BfQDc4HxwA+Bvyil3m0YxhDwMeBrSqnZoa/9F2CE9hMEIT/42S7tMQxjLFAFXAv8Wik1K2afNuAdEf+/I7RNEIT842f7A/BhtD25QilVGnG8UmA1MA94J9pGzQH+SrQ9AphvGMbYiJ/vpVgWQRAyg5/tkjkuqgROBzYBTyqlzrXZ/4fAWLR9qgYuAbakcF4hg4jw43OUUquBs4GfhlTYWUqp74feAO1XSv2fUioY2rdWKfWgUqpFKdUW+vvo0Gf/C5wZcZyfKqWmhdTbyLfaYZVZKfURpdTTSqkfKqUOATcopUrtzm9DO/AH4Fs2n18LHAGuNgxjn2EYPYZh3AH8L/ADpZQyDOMV4BbgN0qpOcDXQ/sPpXhbBUFIgwKwSwAYmoeBVuCkmI9vR0/OTD4M/DHlmyYIQkbwu/1RSim0PfkmMABcHPHxh4CjgaWGYbxiGMaQYRhdhmHcYxjGDRm8jYIgZBC/2yWT0Lhot2EY/w38Bviuza6nAn8xDKPNMIxhwzA2GYZxTxq3UMgAIvz4HMMwzgGeBD4fUmI/DRwPLACOAxqA/w7tXgT8Hq04TwV6gJ+GjvONyOMYhvF5l0U4DdgGTESLMcsdzo9Sql0p9ZaYY/wvcLmKf6MOcD5wr2EYwzHb7wpdw/Gh/7+DVpSfBG41DGO9y/ILgpBhCsQuoZQqUkpdgvY0jH1T1Qi8VWl35lr0QOx+l+UTBCFLFID9eQta3PkreqxzVcRn5wGrDMPoclkWQRA8QAHYJSvuA05WSlVYfPYs8L9KqY8qpWa6LKOQZUT4KSBCb4k+CVxrGEarYRidaEHkfQCGYRwyDONewzC6Q5/9L/C2NE+7xzCMnxiGMQj0Op0/VIYawzCeijyAYRj7gP8Dvm1x/PHAXovteyM+xzCMfuA5YBzw5/QuSRCETOFTuzRZKdWOHmz9DfiyYRhNMefoBR4Argj9rAxtEwTBI/jU/lwF/N0wjDbgL8AFSqkJoc/GA/sirm9BaIJ2WCm1OaYcL4U+M3+WpHldgiBkAJ/aJctjAgqosfjsC+j52OeBV5VSW5RSseGoQo5JNfZY8Cb1QDmwRtsUQDfIYgClVDk65vICoDb0eaVSqjiNsKhdbs+fgO8CW5VS82O2HwQmWew/KeJzlFJnAkuB24AfER/rLghCfvCjXdpjGMbRSufTWA6cA9xqsd8fgZtDx/taimUVBCF7+Mr+hEIt3gN8HMAwjP8opXYC70fboENEjIkMw1gL1CilzkOHXURysmEYklNDELyHr+ySAw3onKrtsR8YhtGDFpO+o5SqAq4D7lZKTTUMozXJ8wgZQjx+CouD6DfUc0NKbY1hGNUhl0KArwCzgNMMw6gC3hrabrb62NVoTFfi8ohtR8XsE/mdROe3xTCMQ+hBzf/EfPQYcJlSKrauvhdtxF4LDZR+i07q/DlgllLqg4nOKQhCTvCzXepDCzrzlFJLLXZ5Ej0Jm4hOQi8Igrfwm/15Fzph88+VXg1nH3pyZYZ7/RN4u01ohSAI/sBvdsmOdwEvJQo9NQzjMFoEqgCmJ3kOIYOI8FNAhPLg/Br4oekWrJRqiHDvrUQ39HalV8uKTai8Hzg24ngtQDPwQaWXSP8YMCON8yfiFuDN6AzwJj9E5+75rVLqKKVUmVLqSuAbwDLDMAzgRmCHYRh/CBmfT4XKMN7leQVByBJ+t0uhMNIfEBH7HvGZgU68eknob0EQPIQP7c9VwO/Qq3YtCP0sBuYrpeahvQz3An9TSp0YKkMZsMjN/RAEIf/40C6FUZoGpdS30J6JX7fZ7/8ppU5VSo0J2agvoT2DYkNShRwiwk/h8TV0EtJnlVKH0R4zZtLkW4EgWul9FvhHzHd/BLxb6QzyPw5t+wSwDO1ePBd4Jo3zo3QG+jOtvhhShL8H1EVsO4ROdFgGvBoqx5eBDxmGcadSahFa6PlUxHceBR4MXY8gCPnHt3YpxO+AqUqpi2M/MAxjg2EYeV+eVRAEW3xhf5RSDcC56AUq9kX8rAmV6yrDMHrRKwO9CjwEHEZPpE5Fe0JHsi50bPPn1gTlFAQhd/jCLkXsP1kpdQS90vILaHH6LMMwHrE5voFOUH0QnQvofOAiwzCOJCiXkEWUvKQUBEEQBEEQBEEQBEEoTMTjRxAEQRAEQRAEQRAEoUAR4UcQBEEQBEEQBEEQBKFAEeFHEARBEARBEARBEAShQBHhRxAEQRAEQRAEQRAEoUAR4UcQBEEQBEEQBEEQBKFAEeEnAyil3qSU+o9S6t9KqTuUUoF8l0kQBCEWsVWCIGQLsS+CIHgBsUWCYI0IP5lhF3COYRhvBXYAl+a3OIIgCJaIrRIEIVuIfREEwQuILRIEC0ryXYBCwDCMvRH/9gPD+SqLIAiCHWKrBEHIFmJfBEHwAmKLBMEa8fhxgVKqVillKKWOKKW6lVJvKKWuttjvGODtwAM2x6lTSv1NKdUVOsb7XZz7fUqpjaHvbFVKnenmeEqpJ5RSvaEyH1FKbY457p+UUnuVUoeVUq8ppT7u5jOX5ZqmlHpYKdWmlNqnlPqpUqok5vszQ+X7k9tyubhmx/MqpeYopVYrpTqUUluUUu9K4ruOzy7BsR2fhSBkCg/bKtv2FdEuzJ8hpdRPQp+VKqV+GypDp1JqrVLqHW7LqZT6vFLqRaVUn1LqDw5lt7NHKdnf0OdONiGRnXO6J66ejd01CUKq5Nq+JGr/oX1s20ro85RsT6JyJrItaZYr0fgtpfGKy/uZ6LoSndvJZjrek9A+YreEhOTaFkXsn3B+FNov6TGF0+eptvmIz23btXIYq2Tg2CmPV9L5bqLrcnFNhTtvMwxDfhL8AGcDLRH/vx8YBMZHbKsC/g3McjjOHcCdwFjgLUAHMNdh//OBN4DT0SJdA9Dg5njAE8DHHY49FygN/T0b2Aeckugzl+V6GPgDUAYcBawHvhhz/keAJ4E/uS2Xi2u2PS/au+014MtAMXAO0AUc76bMCc6b6NiOz0J+5CdTPx62VQltQmi/scAR4K2h/yuAG4BpoeO+E+gEprkpJ3AZsBT4BfAHh/LH2SMX15SOTXC0cwnuiatnY3VN8iM/6fzk2r4kav8W+0e1ldC2lGxPonK6tS2plIvE47eUxitu7mei60pQbkebmeiehLaL3ZKfhD+5tkUR+7vqu63qcaL24fR5qm0+4nPLdk2CsUo6x07m/trcr3S+m2gMluianqBA5215L4AffoBrgVUR/zcABjAz9H9JqFGe63CMCrS7YWRjuh1Y7vCdZ4CrUzleMpUWmAXsBd7r5jOncoU+3whcGPH/CuCXEf+/D7gLPQCx7dxjz+3imm3PC5yIHmSoiM8fAf7HxXcTnTfRsQvWgMiPt368aKtCnzvahIjtVwHbItuSxT4vA5cnU07gJmwmZ3b2yOma0rUJMceytb+x98TtNdtdk/zITzo/+bIvMd9/Gbjc5rM4+5Gq7UmirdnallTLRWLhJ+Xxitv7aXddCc7t2A+4uCdit+TH1Y9HbJFl321XjxO1D6fPM9XmY9s1iecv6Rw75fFKOt9NdF1ujk0Bz9sk1MsdC4E1AEqpGuDm0P9bQp9fCZwG/L+Qe9gVoX1/rpT6eWif44FBwzBeizjuOrR6HIdSqhhYBNSHXNR2h1z7gkkc72al1EGl1NNKqbMszvFzpVQ3sAltvB5O9JmLcgHcCrxPKVWulGoA3gH8I/T9KuDbaBXWEodyJbpm2/PanQptHBJ9N6lnZ3FsSPAsBCFDeNFWgfu2eRXwRyPU81qca2KofBuSLafN8SztUYbsb9zpiLAJTvY3hsh7kvC8bmysIKRIzu1LJDHt3wor+3ErqdmetO1LmuVyGjM4fdd1uV3cTyssz+2yH4gk6p6I3RKSJG+2KMHcKaUxhYv2cyuZnaM4XiIjY5V0jp3OeCUbYx3zutxeU0HO20T4cccC4EtKqcNAGzABuMDssAzDuN0wjHGGYZwV+rkztP2zhmF8NnSMscDhmON2AJU255wIBIB3A2eGyrAQ+KbL430NOBatgv8KeEApNSNy51DZKkPHvw/oc/FZonKBdq2cGyrfbuBFoDH02f8AvzUMY7fNdTudO9E1O513M3AAWKaUCiil3g68DSh38d1E50107ITPQhAyxAK8Z6vAuX0B4Vj8twG3WZ1E6eVY/wzcZhjGphTKaYWdPUrX/iayCY7218Tinri55oQ2VhBSZAG5ty+AZfuP/dzOfqRqezJhX1ItV6IxQzrjFbNcjvfTAbtzu+kHzHNb3ROxW0IyLCBPtihB353qmCLR52m3eRsSjVXSOXY645V0xzpO1+Xm2AU7bxPhJwFKqVJgDnCSYRhV6EZ5OjCQ5KGOoONNI6lCx1db0RP6/RPDMPYahnEQuAW40M3xDMN4zjCMTsMw+gzDuA14OuK7YQzDGDIM4yngaOAzLj5zLJdSqgitQt+HdqcbD9QC31VKLQDOA35oc82Jzm17zU7nDR1vAB2DehE6JvcraPfA3Ym+63TeRMcOfe7qWQhCOnjVVrloXyYfAp4yDGN77AlCx7gd7Z77+RTLGXvMBdjbo3Ttr6NNMHGyvyFi74njeZOxsYKQDHm0L3btP5Y4+5Gm7UnLvqRTLqcxQ7rjlYhjJLqfcSQ4dyKbaXtPxG4JyZBPW2Ri1XenOaaw/TwTbd7hOhKNVdKxg+mMV9Ia6yS4roTXVMjzNhF+EnMi0IuORcYwjHuBnegcE8nwGlCilJoZsW0+Ni62hmG0oStopGtw5N9JHS/0XeVQvhLATs0Mf+aiXHXAVOCnoQZzCPg9usGchU4quFMptQ/4L+BypdRLLsvldM1O5yVU9pcNw3hb6C3AErSa+7yL7ya81w7HtiLRsxCEVPCqrUrYNkN8GAtvH6WUAn6LfiN2eahDT7qcFpyFjT3KhP1N0ibY2d/Ye5LovLbXZHNeQXBLXuyLQ/uPxcp+pGN70rUvmSiXSeSYIa3xShL30wrbc7uwmZHE3pOzELsluCcvtsiGyL77LFIcUyT4PO05ihMJxirpHDud8UraYx2H60rlmgpn3mZ4INGQl3+AjwPPxmxbDjSmcKy/ojOJVwCLSZw9/tvAC2gXxlp01vL/SXQ8oAZYgs7+XgJ8gOhs5hPQCbHGorOdLwl9fonTZ0mUaxtwXejcNcDfgL+gXeyOivj5PnAPUJ+oXG7uod15I757UuielKONxHZGsvMn+q7js7M7dqJnIT/yk6kfvG2rErWvN4faRaXFsf8PeBYYm2w5Q+crQ8f/3262w9BniexRSvY34nM7m5DQzjndE6fzJrom+ZGfVH/yZV+c2n/EPk72Ix3b49TWbG1LOuXCxZjBxTU5ldvxfia6Lqdzk8Bm2t0TsVvyk8xPHm2RY9+dqB4nah9On6fT5kOfO42FbOdGGTh2yuOVdL6b6LoSHLuGAp635b0AXv8Bfgr8KmbbWaFKUJbgu/8H/F/E/3XomMwutDr9/pj9/w58PeL/APBzoB3tqvbjyHPaHQ+oRxuPztB3nwXOj/hePfCv0GeH0csCfiLRZ0mUawE6I3obcBDtXjfR4v7cQHQWdjfntr2Hic6LzoLfhnbz+ztwXBLfTfTsLI+d6FnIj/xk6gdv26pE7euXwO0W5ToG/aalN9S2zJ8PuCznDaHvR/7cYHMPYu1RSvY34nMnm+Bo5xLcE8fzOl2T/MhPqj/5sC+J2n/E/pZtJfRZSrYnUTnd2JZUyoWLMYOLa7IbGya8n4muy+ncJLCZie5JTBnEbsmP5Q95Guvgsu+O+G5UPU7UPpw+T7XNx5TFsl3jMDfKwLFTHq+k891E1+V0bAp83mYuWykIgiAIgiAIgiAIgiAUGJLjRxAEQRAEQRAEQRAEoUAR4UcQBEEQBEEQBEEQBKFAEeFHEARBEARBEARBEAShQBHhRxAEQRAEQRAEQRAEoUAR4UcQBEEQBEEQBEEQBKFAEeFHEARBEARBEARBEAShQCnJ5cnGjx9vTJs2LZenFAQhw6xZs+agYRj1+S5HOogtEoTCwO/2SGyRIBQGYosEQfACTrYop8LPtGnTePHFF3N5SkEQMoxS6o18lyFdxBYJQmHgd3sktkgQCgOxRYIgeAEnWyShXoIgCIIgCIIgCIIgCAWKCD+CIAiCIAiCIAiCIAgFigg/giAIgiAIgiAIgiAIBYoIP4IgCIIgCIIgCIIgCAWKCD+CIAiCIAiCIAiCIAgFigg/giAIgiAIgiAIgiAIBYoIP4IgCIIgCIIgCIIgCAVKiZudlFI7gE5gCBg0DGORUqoOuBOYBuwA3msYRlt2iqlpbGpmxarN7GnvYXJNkGVLZrF0YUPcZzXlAQwDOnoG4vbzQvlyWSY3ZXPi/Fue4PUDXeH/Z06o4NEvn5XSvm7KkO/7JHgbr9iiQsSrbS/VcmX6evxcjsamZm5YuYH2ngEAihQMGyO/AWqCAd45fxKPb2pxdexM9LmNTc3c+MAG2roHwmW44ZK5nqh3iRBblDzptoVvNq7njud2MWQYFCvFladN4aal87JY4syTTzvrNRufzpjQrf2x+j5gaQ+LlWLIMGioCTJtXJBnt7X5oq7l0hbF2uxYassDfOvieBtu9bzM+x9JQ8QzclNX3dQPL9T1ROV1uy+4uy+CYIcyDCPxTtqoLDIM42DEtu8BrYZhLFdKXQfUGobxNafjLFq0yHjxxRdTKmhjUzPX37eenoGh8LZgoJibL9OGOPazSMz9stk4ki1fLsrkpmxO548VckysxJ9E+7opQ6rlFHKLUmqNYRiL8nTuHeTZFhUiXm17qZYr09fj53I0NjWz7O51DAwn7utjsTu2VTncfC+uXPesY2AoulyBIsWK98x3fX/yZY/EFiVHum3hm43r+dOzO+O2f/D0qZ6dkMeSTzvrNRufzpjw8lMauHdNc0L7A/Fj70CRFndSMIcJ61qh2yI7mx1LoFix4t3zHZ+j4/eLFCiizmNVV5OpH34bz1jt6/a+CIKTLUon1OtS4LbQ37cBS9M4VkJWrNocZzR6BoZYsWqz5WdW+3mpfLkok5uyOWEl5NhtT7SvmzLk+z4JviWntqgQ8WrbS7Vcmb4eP5djxarNKYk+TsfORJ+7YtVmywnEwLCR93qXBmKLbEi3Ldzx3K6ktnuRfNpZr9n4dMaEdzy3y5X9sfr+wHBqog/4q66RBVtkZ7NjGRgyEj5Hx+8PG3HnsaqrydQPv41n7Oqum/siCE64FX4M4BGl1Bql1CdD2yYahrE39Pc+YKLVF5VSn1RKvaiUerGlpSXlgu5p77HdbveZm+9nilTKl+0yJTpPrs7vtgxeKKfgefJuiwoRr7a9VMuV6evxcznSfYZW389En5vNMucIsUVJkG5bGLLxTrfb7kXyaWe9ZuPTGRO6eeZu5wbJ4OG6lhNblMz9dPMckyX2OMnWj3z3K8m0wVTvtSAkwq3w8xbDME4G3gF8Tin11sgPDR0vZtnSDMP4lWEYiwzDWFRfX59yQSfXBG23233m5vuZIpXyZbtMic6Tq/O7LYMXyil4nrzbokLEq20v1XJl+nr8XA6nz8r7e/jaE3+gss/aY9Pu+5noc1Mts4cQW5QE6baFYqWS2u5F8mlnvWbj0xkTunnmbucGyeDhupYTW5TM/XTzHJMl9jjJ1o989yvJtMFU77UgJMKV8GMYRnPo9wHgb8CbgP1KqUkAod8HslVIgGVLZhEMFEdtCwaKWbZkluVnVvt5qXy5KJObsjkxc0KF6+2J9nVThnzfJ8H7eMEWFSJebXuplivT1+PncixbMkvnBrDgsldW85nn7uGcLc9bfm537Ez0ucuWzCJQHF+uQJHKe71zg9ii5Ei3LVx52pSktnuRfNpZr9n4dMaEV542xZX9sfp+oEhhYw4T4tW6litbZGezYwkUq4TP0fH7RSruPFZ1NZn64bfxjF3ddXNfBMGJhKt6KaUqgCLDMDpDf78d+DawErgKWB76fX82C2omrnLKZp7PVb2SKV+uM7G7KZsVj375LNereiXa100ZUi2nMDrwii0qRLza9lItV6avx8/lMD+zWsXmsg2rAZjTsoN/JbGqV2w5Uulzzc/9uKqX2KLkSbctmEl1/byqVz7trNdsfLpjwkXH1Lm2P4W8qlcubZGVzY7FalUvu/4i3VW93NaPfNd1N+V1u6/b7wuCHQlX9VJKHYtWkEELRX8xDON/lVLjgLuAqcAb6KUCW52ONVpWrxCs8eryikJy5HHlCrFFgpApXn8djj9e//2Od8DDD6d1uHzZ93zYI7FFguAtvDC+FFuUHl54hoJQCDjZooQeP4ZhbAPmW2w/BJybfvGE0UDs0oTN7T1cf996ADHsgivEFglCBvnTn0ApOPtsWL8+rUONNvsutkgQvMNosz+RFIotGs3PUBBySTrLuXuKxqZmFi9fzfTrHmLx8tU0NjXnu0hCBF5bSlQQBGG0Ee4nv/YgzT/5NQfe9BZYsgR274a2tpSPK/ZdyDUy5hNMxP74n9HyDMVuCfkmocePH/CLUjya3Ri9tpSoIAjCaCKyn1zU/CoNbXu5buL7uaR8Em8G7fXz1rcmOoxlPyb2Xcglfhnz+Qk/j0/F/viffDzDXNd5sVuCFygIjx8/KMVmg29u78FgpMGPFrXXa0uJCoIgjCYi+8nLXnmc7kApK2ecznebx+gdXIR72fVjNeUBy/3FvgvZwA9jPj/h9/GpjC/9T66fYT7qvNgtwQsUhPDjB7V/tDd4ry0lKgiCMJow+8PSwX4u2vQk/zj+zXSPCfLycAXU1roSfuz6McNA7LuQM/ww5vMTfh+fyvjS/+T6GeajzovdErxAQQg/flD7R3uDX7qwgZsvm0dDTRCFXrLx5svmiXujIAhCDjD7w7O3vkB1Xxd/m3u23l5bDvPmwcsvJzyGXX/V0TMg9l3IGX4Y8/kJv49PZXzpf3L9DPNR58VuCV6gIHL8LFsyKypuEryn9k+uCdJsYVBGU4NfurBBOmJBEIQ8YPaTl7+ymv1j63j6mPkj/WTzSXDbbWAYeqUvG5z6MbHvQq7ww5jPTxTC+FTsj//J5TPMR50XuyV4gYLw+PGD2i+uqIIgCEK+WLqwgR+c3cDZ215k5Zy3Malu7Eg/OW8edHbCG284HkP6McEL+GHM5yekXQujjXzUebFbghcoCI8f8L7ab5bNr6smCIIgCP7mwo3/huEhPvHrb/GJ+fNHPpg3T/9evx6mTbP9vvRjglfw+pjPT0i7FkYb+arzYreEfFMwwo8fkAYvCIIg5I377oO5cyFS9AE48UT9++WX4eKLHQ8h/ZggFB7SroXRhtR5YTRSEKFegiAIgiA4YBiwZg2ceWb8Z5WVMH26q5W9BEEQBEEQBP8hHj85orGpWdxoBUEQhKxi29ds2wYdHXDyydZfnDcvdeGnrw9uvRWOHIneftZZcO65qR1T8AwyfhEEwa+I/RKEEUT4yQGNTc1Rmdyb23u4/j49wBbjIwiCIGQCx75my0t6p1NOsf7yvHnw0ENaxCktTe7EP/sZXHcdFEU4EQ8Pwx//CDt2OK4UJngbGb8IguBXxH4JQjQS6pUDVqzaHLV8H0DPwBArVm3OU4kEQRCEQsOxr1mzBgIBnePHinnzYGgINm5M7qRHjsDy5XDeefr75s/Pfw47d8Lrr6d4NYIXkPGLIAh+ReyXIEQjwk8O2NPek9R2QRAEQUgWx77mpZd0Emc7b56TTtK/kw33+ulPoaUFvv3t6O3nn69/P/pocscTPIWMXwRB8CtivwQhmlEb6pXLmM/JNUGaLYzM5JpgVs4nCIIgjD6qgwHaewbitk+uLtPCz9Kl9l+eOVOLQskIP4cPw4oV8I53wBlnRH82Y4ZeGv7RR+Fzn3N/TMFTyPjFPZJLRBC8hVftl9gKIV+MSo8fM+azub0Hg5GYz8am5qycb9mSWQQDxVHbgoFili2ZlZXzCYIgCKOLxqZmuvoH47YHihT/Pb8SDh2yz+8DUFICc+boJd3d8qMfQWtrvLcP6Lw+558Pjz8Og/HlEvyBjF/cketxpSAIifGi/RJbIeSTUSn85Drmc+nCBm6+bB4NNUEU0FAT5ObL5om6KwiCIGSEFas2MzBkxG0fW1bCkr7QgNJuRS+TZFb2am+HH/wALrkEFi2y3uf887VX0PPPuzum4Dlk/OIOySUiCN7Di/ZLbIWQT0ZlqFc+Yj6XLmyQgZIgCIKQFez6r/buAR3mVVw8ksfHjpNOgttv195B48Y573vLLXp5+BtvtN/nnHO058+jj8Kb35zgCgSvIuOXxEguEUHwJl6zX2IrhHwyKj1+7GI78x3zKQiCIAip4NivvfQSHdNnsvhH/2H6dQ+xePlqa7fyefP070ReP4cOwa23wuWXw4IF9vuNG6fDyx57zNU1CIJf8dK4srGpmcXLVzu3dUEQMo6btuclWyGMPkal8HP27PqktguCIAiCl7HNZfD24+l97gVWlx+dOKeAW+HnBz/Qy7g7efuYnHcePPssdHa6vxhB8BleySUi+UMEIT+4bXtesRXC6GRUCj+Pb2pJarsgCIIgeBnbXAZHFVF2qIV19cdG7W+ZU2DSJO2l4yT89PfDr34F73oXzJ2buGDnn6+TOz/xRNLXJAh+wSu5RCR/iCDkB7dtzyu2QhidSI4fF9szgSzdJwiCIGQTy1wGDz4IwCtHzYjbP67PUwrmz4enngLD0P/HsnIlHDrEl6tO5W/XPZS4P1u8GIJBnefn4otTuSxB8AVeyCWS7/whMtYVcomX6lsybc8LtkIYnYxKj59cx1eK660gCIKQF156iWGleHXCsXEfWfZ5H/oQbNwI//yn5eH2//Bn7K0cT2P9Ce76s9JSeOtbtfAjCEJWyWf+EBnrCrnEa/VNcvcIfmBUCj+5jq8U11tBEAQhL6xZQ9cxMzAqxkZttu3zrrwSJk6EH/4w/rNdu6j/z7+4+8RzGS4a6UMT9mfnnw+bNsHu3alehSAILshn/hAZ6wq5xGv1TXL3CH5gVAo/uY6vzLfrbc7p6IDf/laHCgiCIAj546WXqHzzm9z3eaWl8NnPwsMPa7Emkttuo8gwuPuk8+O+5tifnR/aX7x+BCGr5DN/yKgb6wp5xWv1TXL3CH5gVOb4gdzGV06uCdJsYYgK1v2vsRE+/nHt3j9zZr5LIwiCMDo5cEB72Zx8cnJ93qc/Dd/5DvzoR/CLX+htw8Pw+9+z5tgF7Ko5Ku4rjv3ZvHkwYYIWfj760RQuRBAEt+Qrf8ioG+sKecWL9U1y9whex/MeP41NzSxevprp1z3E4uWrfRkrPOrc/7q79e8WWSVNEAQhUyTdHzY16d+nnJLciSZMgA9+EG67DQ4d0tv+9S/Ytg3jYx9Lvj9TSi/r/thjWkAShAxRCGPEQmHUjXWFvCL1zRqxiYITnvb4MRN3mTGcZuIuICOKaq6ywZvH9Erm+azT26t/mxMGQRAEIS1S6g/XrNG/FyxIvr+75hodsvvLX8LXv67/rq5m0Zc/zs2bWpPvz84/H/7yFzj1VAgEnPe95RZ485ud9xFGPU5tAkbRmMsjjLqxrpBXUqlvXloFLBtke94s+B9PCz9OibvSrcC5bhyjyv2vr0//FuFHEAQhI6TUH770EsyYQeP2ruT7uxNP1GLNT38Kn/gE3HuvDtMKBlPrz5YuhYcegs7OxPsmEoYEAfs2ceMDG+gdGJbJTx4YVWNdIe8kU99GgyiSzXmzUBh4WvjJZuKu0dY4cqpyi8ePIAhCRkmpP3zpJVi0KPX+7tpr4cIL4b3v1Xb96qtTKbqmpgbuvjv17wtCDHZ1v617IG5bvsd3he5pIAi5Jtk2NRrmfV5LeC14D0/n+LFL0JWJxF2jqXGYKndzew8GIyp31uI+xeNHEAQho1QHrb1g7LbT2grbt8Mpp6Te3y1ZArNnwxNPwEknwcknJ1FiQcguyY4F8zW+y/kYTBAKnFTa1GiY92Vz3iwUBp4WfrKZuGs0NQ4nlTsrmMJPa2vUZkk4JgiCkBpKWW8/3DsQb0sNA264Qf99xhmp93dFRTrXD2hvH7tCCEIesBsj1tiIofka3+V8DDYKkPFk4ZDKs0ylTY2GeZ8kvBYS4WnhZ+nCBm6+bB4NNUEU0FAT5ObL5mXEJW80NY6cq9wWoV7yxksQBCF12i3CVwCGDeJt6YoV8JOf6FCtt741vf7uox/VCZ4/8Yl0ii8IGcdujHjDJXM9Nb4bDZ4GuUTGk4VDqs8ylTY1GuZ92Zw3C4WBp3P8QGYSxTnFgY6GmOvJNUGaLYxh1lRui1Cv0RBbKwiCkC3s7DjE2NLbb4evfQ2uuAK+/30gzdV2xoyBT34yapPkK/E+o+UZOY0RvXL9OR+DFTgyniwcUn2WqbSp0TLvK6QE66OlH8slnhd+0iVRFvfRUIGWLZkVdQ8gyyq3hcePvPESBEFInVg7HuzvpSdQGg6/2tPeA48+Ch/7GJx9Ntx2mw7VCpGp/m40rIzid+QZeWt8l/MxWIEj48nCIdVnmWqb8pJdEJyRfiw7FLzwI28G8qByW3j8yBsvQRCE1DHt9VfuWsfUQ7t57DefoStQxub6aWyaMI2Oo6bAz/4Mc+bA3/4GpaVZKYf0qd5HnpG3GC2eBrlCxpOFQ6rPUtpU4SP9WHYoCOHHyRVM3gxocqpyW3j8yBsvQRCE9DBt+MPfW0OxMcx/jjmJmp5OLn31X1Q1ddFcVc9nL/oGH912hKULq7NSBulTvU8mnpG42GcW8TTIHDKeLBzSeZbSpqIpNJstY43s4HvhJ5ErmLwZyAOmx09vL3R3Q3m5qPOCIAgZYOnCBhrmj4O/wvff+mEOTp3BkZ4B6jsOcChYTZ9RmlV3aOlTvU+6z0hc7AUvI+PJwkGeZWYoRJstY43s4HvhJ5ErmKfeDGzbBjU1UFeX+3PnElP4Ab2ke3k5IOq8IAhCJji1Vq9M8uiNl7D49s20dQ+wp2pC+PNsukN7qk8VLEn3GYmLveB1ZDxZOMizTJ9CtNky1sgOvhd+ErmCeUlN7jz37ayaNI9lb/14YavaZqgX6HCvo4/OX1kEQRAKjY4O/bu6Oufu0LF9ak15AMOAa+9cy4pVmwu3X/MR6Y57xMVeiKTQQkgEwQo/1/NCtNlemr8XEr4Xfty4gnlBTW5sauasffspLZuMQWG44dnS16c9m9rbo/L8CIIgCBmgowOKi6GiIi/u0GafWoju5YVCOuMecbEXTKSNC6MBv9fzQrXZXpi/FxpFiXfxNsuWzCIYKI7a5kVXsBWrNhMc6KNssD+8zXTD8zKNTc0sXr6a6dc9xOLlq2lsak78pd5emDxZ/y3CjyAIo4yU7GYydHRAVRUoldc+0Mm9XPAvfhlXCdmn0Nt41m21EMbL99rv9VxstuAW33v8+MUVbF/rEUqHBigb6Iva7mU3vJQV8L4+mDoVXn1VhB9BEEYVOXlz2NEB1dVRx8xHH1iI7uWCf8ZVQvYp5Dbudy8PP+H1e+33ei42W3CL74Uf8Icr2PQKrcRGevyAt93wUk4W1tcnHj+CIIxKcpJksb1dh9OGyFcfWKju5YI/xlVC9inkNl6ICXG9itfvdSHUc7HZght8H+rlF778Fp3guGxwxOPH6254KSvgvb36bXRFhQg/giCMKnLy5jDC4yefiHu5IBQ2hdzG/e7l4Se8fq8LuZ4LQiQi/OSIC2foQfpYYwAFNNQEufmyeZ5WZ+2U7oQKeF8flJbqZetF+BEEYRSRst1MBo8IP0sXNnDzZfNoqAn6pl8TBME9hdzGc2KrBcD797qQ67kgRFIQoV6+oLsbgOlBxfblF+W5MO5YtmRWVEwuuFDADUN7/JSWwrhx0Nqag5IKgiB4g5TsZrJ4RPgBcS8XhEKnUNt4Tmy1APjjXhdqPReESET4yRUh4Yceb7g1uiGlZGGDg1r8KSvTwo94/AiCMIrISZJFDwk/giAIfkQS4uYOudeC4A1cCz9KqWLgRaDZMIx3KqWmA38FxgFrgA8ZhtHvdIxRjQ+FH0hBAe8L5TAyPX527cpOwYRRi9giwetk9c2hYcDhwyL8eACxRYLgbwrFy8MPtqhQ7rUg+Jlkcvx8CdgY8f93gR8ahnEc0AZcncmCFRw+FX6SprdX/xaPHyF7iC0SRi9HjsDwcNSqXkLeEFskCIIXEFskCEJCXAk/SqmjgYuA34T+V8A5wD2hXW4DlmahfL6isamZxctXM/26h1i8fDWNTc0jH5rCz+AgDAzkp4C5INbjp61NT1IEIQOILRJGPe3t+rdLjx/HfklIGbFFgpA+Yp/SZ7TZIqkzgpA6bkO9bgW+ClSG/h8HtBuGMRj6fzcwqv33GpuaoxKXNbf3cP1964FQbKsp/ID2+gkE8lHM7GN6/JjCz/CwnqjU1eW1WELBcCtii4TRTEeH/u1C+EnYLwnpcCtiiwQhZcQ+ZYxbGSW2SOqMIKRHQo8fpdQ7gQOGYaxJ5QRKqU8qpV5USr3Y0tKSyiF8wYpVm6Oy1QP0DAyxYtVm/U+s8FOomB4/ZqgXSLiXkBHEFgkCSQk/CfslISXEFglC+oh9Sp/RZoukzghCergJ9VoMXKKU2oFOFHYO8COgRillegwdDVj62hmG8SvDMBYZhrGovr4+A0W2obkZvvWtvIUV7Wm3FnPC27u6RjaOBuGntHTEy0eWdBcygz9skSBkkySEn4T9kpAqYosEIU3EPmWEUWWLpM4IQnokFH4Mw7jeMIyjDcOYBrwPWG0YxgeAx4F3h3a7Crg/a6V0w9/+Bt/+NmzblpfTT64JOm+P9PiJ/LvQiE3uDOLxI2QE39giQcgmSQg/CfslISXEFglC+oh9Sp/RZoukzghCeiSzqlcsXwO+rJTago4n/W1mipQibW3698GDeTn9siWzCAaKo7YFA8UsWzJL/zPaQr3MHD8gwo+QbbxliwQhmyQh/CTsl4RMI7ZIEFwi9imrFKQtkjojCOnhNrkzAIZhPAE8Efp7G/CmzBcpRUzhJ4kY1camZlas2sye9h4m1wRZtmRWysnBzO/ZHm+0CD+xyZ1BhB8h43jaFglCNjGFHxfLuSfslyzIZL84GhBbJIxW0rUVqdgnwZ7RYIvSrTPSvwmjnaSEH0+TpPCTjczwSxc22H93tAg/kcmda2qgqEiEH0EQhEzR3g4lJRB059ru2C/FICumCILghkzZimTskyBA6nVG+jdBSC/Uy1skKfzkPDP8aMnxExnqVVQEtbUi/AiCIGSKjg4d5qVUxg8tK6YIguAGsRWC35A6KwijWPjJeWb47m4oDsWl+snj5/77oanJ/f6RyZ1Bh3uJ8CMIgpAZTOEnC8iKKYIguEFsheA3pM4KwigWfnKeGb67e2R5cz8JP1/4Avzwh+73j/T4AX3Nspy7IAhCZsii8CMrpgiC4AaxFYLfkDorCIUk/LS3698uV/XKRmb4xqZmFi9fzfTrHmLx8tU0NjWPfNjdPZLs2E/Cz5Ej0NXlfv/I5M4gHj+CIAgWOPYXTmRR+JEVUwRBcINXbUXKdlXwBek8X6/WWUHIJaM2uXOmVxNIlDSs7WAHO3tLmA/85KGXmXJGsz+SiXV3J5eTKDK5M2jhZ/36zJdLEATBp6SVZLKjA449NmtlKwsUhctVEwxwwyVz/dFXCYKQM3KxIleyKzBJ8t7CJpnn61R3ZFUvYTRTGMLPwID2TIGklnPP5GoCiZKGnXigjX21k5kP9B8+4o/OaGhICzmpCD/i8SMIgmCJU3/hSvhxsZR7ssQOqgH6Boczfh5BEAqDbK7IlYqIk5ZdFTyP2+ebqO5IXRBGM74P9WpsauaiGx8AoK8kwOD+A3kph1PSsBWrNlM60MeR0nIGioopG+z3RyZ5MyQtGeGnt1evNhMI6P/HjdOhYqYgJAiCMMpJK8lke3tWQr1kxRMhX0h4jhBLKvZIkvcWNm6fr5f7MrF1Qr7xtfBjqrrdB3Renx01kyjp6Wblf7bkvCxOScP2tPdQNtBHT0kpvSVjKBvsB3zQGZm5fZL1+CktHVlq2MxrJF4/giCMIpwGeNXBgOV37LaHGR6Gzs6sCD8yaRLygTmOa27vwWDk7bxMiEb3JDEVeyTJewsbu+dYpFRU2/BqXya2TvACvhZ+TFW3uleHeW2v0+57f7j/Bcv9s9mJnj273nb75JogwcE+egKl9AZKKRvU3i+e74xMwSfZ5M5mmBeI8CMIwqjjm43rufbOtbYDPFMXj8Vue5jOTjCMrAg/MmkS0iWVMZaX387nk9E+SUzFHkny3sLG6vkCDBlGVNvwal8WaevGdbVz1tYXsm7rRrN4LFjja+HHVG9N4WdH7WQA+vfFh3tluxN9fJN1bqHHN7Ww7O3HEwx7/JRSNtDnj87IFH6S9fgxEzvDyBL2sqS7IAijgMamZv787E6MmO2RA7z27gHL79ptD9PRoX9nQfiRSZOQDqmOsbz6dj7fjHZBLBV7tHRhAzdfNo+GmiAKaKgJcvNl8ySnS4FgPt9iizckkW3Dq31ZpE37wNq/89t7/4fSwf6s2brRLh4L1vha+DHV26qQ8LOtVhv3mUW9cftmuxN1GrwsPWE8xcYwY6rG0lsyhlo15I/OKJ1QLxPx+BEEYRSxYtXmONHHxOwnUn4jmUXhRyZNQjqkOsby6tv5fDPaBbFU7dHShQ08fd05bF9+EU9fd47YrwJj6cIGhg3rHtZsG17tyyJt2rjudoqNYap6j2TN1o128Viwxterei1bMovr71tPdZ8WKLbXaY+fDxwb34iy3YlOrgnSbHGsyTXBsHDy6XfMg5YmZk6qBD90RpEeP4bhIg4BHeoV6fETIfwkuzSnIAiC33CTg8Lsu2IHZW1dfTQ2NdvbRVP4ycKqXiArngipk+wYyxwPNLf3oCBKLPXC2/l84zimHCUka49kjOl9MvGM3LQNL/Zlkf1+TY92WDhqsJurs2TrRrt4LFjja+HHbNT7n78bgN5pMwBYVDEUt291MEB7T7wbvVUyzVQM07Ils1h29zoGhkeGL4EipQcvpoBSXg7B4MhqWV7HLLdhxIdw2WHj8bNh/Tau35nc0pyCIAjJ4IWBv92gVEF4Mrt0YQN3v7iTp7dGh8B2Dwyz7J514X3iyKLHjyCkQzJCRexyywaExZ+GUTJhT2SrrMRhK0HMCzbPC6Sy/LuQW9J5RpH1vKY8QKBIRc23/CAWm9e4YtVmano7AfjqqfWcmWL9TNT2k5n3CqMHX4d6gW5InzqpDoJBHrjpciguhpb4fDtuk2k6xUQmTJIVew7z/0jhp7w8udCpfBKZ1NltmWOTO5eXQ1kZ69ZuE5dDQRCyhlfi2a3yCyjgA6dPDQ/KGpuaeWardd6zgSGDG1ZusD54e7v+LcKP4DGSyathFYJgij65Ds/JR/JTN7bKTbiKV2yeF5CwFu+T6jOKredt3QOgoCYYyFooV7bsghmK+LZxevp95vj4ZNVuy5eo7ae8iIRQ0Pja4ydMWxvU1uraPH68pfDjNpmmnWG6YeUG+gaHbZXqFas2MzAUHXc6MGSwYtVmll4QSnBsevwciE8+7UkixZ7u7pFEzU5YeQaNG0dJu/UkR1wOBUHIBE6DylxOJCPf6tm9iXPKAwTQ3jPAghsfoaNnIPr74vEjeBQ39d7EKyEI+fIScWurEoWreMXmeYFM1ynxpMo8qT4jq3o+MGRQUVrC2m+9PWPlM8mJXTAXvElx4Rs3bT/lRSSEgqawhB+A+no4eDBuF7duyHYGyMpdLrKRORo0v4d6xf7tRF+fvsZIxo1jQt8Ry91rysXlUBCE9PHKZBIST9jclMnsc6IGnSL8CB7GbV4Nr+SvyZdwkilb5SWbl28yWackbCw71JQHtLeOxXYncl3Pc2IX0hR+3NwTr9hZwVv4PtQL0O7vkcKPhcePWzfkZBuEq1VaRpPwE5vcGWDcOKq7Oy13t0nOLwiCkBR+Wh0o2TKF3eE7OiAQcJdvTRA8ileWW86XcJIpW+Unm5dtMlmnJGwsO9iN9xPNA3Jdz7NuF4aGRsK2UxR+3NwTr9hZwVv4TvixjLtsaxtZ5cRG+ImNl64JBigLFHHtnWuj4jftGkqtjSIduUqLbQMbTTl+YpM7A9TVMbb7sOXuHRaeVIIgCMnitUGOU44Aq7ImYk97jxZ+qqslSF/wLG5yY+RqueVEZcmXcJIpW+U1m5dPMlmnxJMqO9iN9xPNA3Jdz7NuF9rawn/+7Z/rU8oj5OaeeHVZeyfykXNttOGrUC8798vz9x+k4sQT9U42wg+MuCG7ceM0Y3urgwGU0snEnJYcdYxv3/yk/kJFxaj1+BnXZ+3xMxrfTAmCkHmSyTGSbRL1MZFltXLFtmJyTRB2drhayl3yUwj5IJkQmWwvt+ymLG5Xzkq3HHZtMd026iWb5wUyVackRCY7pHpfc13PE9mFtPvXCC+fQEd7VHJmcBdO6PaeeHFZezskxDI3+Er4sXO/HG5tjQ71amuDgQHtEp/Eccz4TTuBKNGSo7YNzCrUyzC8/9Y21Rw/sR4/48ZR03uEYEkRPYPD4c2j9c2UIAjZIdeDHLsBoJscAZFlXXDjI5Z55EzCtvLJjoT5fWTwJOSLXOTGcDvpctsGzX2zMaF0KwCng58mdn4hF4LgaCSd+5rLeh77YqZYqbDtePGNVu5d05xe/xoh/FT3jLwUT9ZWFlrbl2T1ucFXwo+Vm2XR8BCVvV0jws/48fr3oUM07h2K6tDPnl3P45tabN+wxm5PtOSoa2KFH8OA/v54gcRrZCrUa9w4igYHWfH2adz8zF55MyUIgu9xmtTZhQQ0t/fQ2NQctaz7ilWbHUWfqJcM7e0JhR8ZPAnp0tjUzI0PbAgnYq0JBrjhkrkJ60+2Q2SSETWd2uD06x6KGoNkq11IW/Qn4kmVHfx0X80yxdqbPz+7M25Fzp6BIb5y1zquvXOtu2sKCT+HglXU9EZHQzS397B4+WrP3pdIMu1ZLCGWucFXwk91MBA3QK7sCwkSkR4/wD+f3MD1Lw9ENdg/PbvT8fjFMR44bgfvCYnN8WNu87rwY5axry/tUC+Adx5dyjuTEcwEQRA8itOkzm71EiA8UQVYds86BobsM1vGvWTo6ICJEx3LJYMnIR0am5rj6mV7zwDL7l4HOL/VznaITDJCil1ZgJRCK1IhW21RQjmzT6F5U3gFP91Xu5f/VgyFMlRb2ZXY9vqjwS0sAt6onUR9V3vcsfzgpZsNz2IJscwNvkrubBUZVdUX8kqJEX4aH1kb12ATMRSTWt6psl1/33r3SadM0aSsbGSpcz/k+enuDt/PdD1+ADh0KHNlEwRByCNOkzqnVUrMieqND2xwFH0UcPbs+uiNHYlDvWSlHyEdVqzabFkvB4aNhKsaZTsJazJCipsE6tleqSkbbdGccDW390QJWJIEVRAyS6oCbaRdsWqvjzz5KgC76xqiQr3sjpFP7JItZ2PlO0lWnxt8JfxYvUGt7j2i/4hc1QswDlgneHaiIaYzdho4JFXBu7u14FNU5D/hxwydiwz7smN4WIew2Xj8iPAjCEKh4DSpS7RKyZ72HluPIBMDuHdNc/SEzoXwI4MnIR2cJjuJJkLZXkUmGSElsixOZNMTLhttUZYaF4TcYGdv3GRnNe2KVXutOHKYYaU4/oyTqOrvpmRo0PEY+cJJZM6GN6MfVyHzI74SfmJDsSBC+Inx+JlOckumW3XGZiW0w3UF7+4eCfHyk/DT1TUi2rjx+Onv178tlnMHohKaCYIg+BmnSV2iN/pu3/hHTeiGhqCzM6HwI4MnIR2c6qabert0YQNPX3cO25dfxNPXnZPRepeskGKWxUn8yaYnXDbaooRyCkJusLM3Hzh9arhNW81LYcSuWLXL6t5ODpdWMPukGQDMKrWOTsm3l66TyJwtz+Js9h+Cxlc5fmJDscBC+AkJFRcdVcJvAsWO4V5OK3SZmCu0pBV32NU1IvxE5vjxOt3dMGGCFqvclLe3V/+WUC9BEAqcRIkqY1cvMTEnqjes3EB7zwDjutopMgxaxtZanic8cOwMuYS7WM7dT3kUBG+xbMksy9xTgSKVd6+xVJPDOoki2b6mTLdFyYMhCLnBjb2JzXUD0WK0VXut6e3kSHkVNaGX4teeMp4vvNTtuVXknETmH16xQFa+8ym+En4aLBpQnPBTUgK1tcwO9HPzZfMsV/VKNiFe2ks7+tXjxyx3ebk74aevT/+ODfUKPZtNr2zn6uWrJSGhIAgFgd2kzmo52CHDiHvJsOzuddzy0C2UDfZzxfuXW54jPKFrb9e/E3j8CEI6mHUzlVW9ckEqQoqdWFJbHvDENSWD35cal8TUQiRerw+J7E0icciqvY7rPULFpPpwNMR5RwXi5qteuA9OIrOfVmgTovGV8GPVgMYPxCR3Bh3u1dKSsTctaVdwvwo/XV1QUZG88BPr8VNSQn9lNS++tIXmWn3dfshaLwiCkCpuBowv7jjE/B++RvHwEBhG3AoGURO6jg79W4QfIcssnVXL0qmnjHjr+hw7seRbF8/NY6lSw88TrmysBCT4l0KpD059vVV7PTE4SO2USVFpMJZedIbnrjmRyCyexf7EV8KPVQO6eGoQxowZEVQgLPxk+twpV3C/Cj/JevyYoV6xHj/AgUAFVV0dUdvslmEVBEEYDax/fiM1Ia/VozoPsa9qfPizuBBkEX6EXPHlL8NTT8Err+S7JBnBz2KJFX6dcDnlDPHj9QjpMVrqQ1x7/c0RLfp4PP9podlNQeMr4ceKQOdh7e0T+aa0vh62bEn5mHauhym7JHZ3Q2Wl/ttvOX7Ky7XXTzoeP0BLaSU1FssWSkJCQRAKlUR9Rs3WkZV4jju0K0r4iT3OM7/9N98Drv7ba1w8bo4MvoTs8fzz8Oqr+mWOxYscL+F2XJYJscTrYSmZJBvXKomphUiyUR980UZbW6OFn7a2lA7ji2sVPIevhB8rt8BNG3cyPjiWysgd6+vhP/+J+25sAwG4/r6X6RkYBqBIwRnH1vHSzo4418MX32jl3jXNqbkkdnfDxIn6b794/AwO6lW6UvH4sRB+uqprqWuL98KShISCIPgZpxcFy+5ex8CwTpLb3N7DsrvXASN9xps6d4ePM/PQTp6avjD8v7n/i2+0cucLu7iotR2AbQMlLLsn+jiCkDGGhmDjRh16uG0bnHBC+KNsTTRSPW4uQ0USnStfk7BsnDdb91USUwuRZKw+9PXBwYM0HiBhvc1VO21sag4v4AA6n9i3Lp7L0pOO0vn66uq0965SUR4/bsuXC9tXKKF4QjS+En6s3AIrujt5Y2gMWyIay42vH+GDBw9SNDwMRUWWlddq1YphA57eGu9y1zMwxB3P7YpbVcy1S6IfQ71MocfM8XP4cOLv2CV3BqbMnErgX1ujtvkpIaEgCEIsTgOjG1ZuCIs+JgPDBtff93J4QHjLri3sG1tH6eAAxx3aFXf8gWGDPz+7EwOo7NP57A6XVjAwZHDjAxtk8CVkDHPCUbxjO/82X+K8/npY+MnWJCCd4+YyVMTpXJB4wpku9i8vM3/ebN1XvyemFjJLxurDz34G3/42tyy727He5krIiH3pA9DWPcCye9YRaG/jIsPQwk9xsRZ/QsJPMuXLhe1LdI58exzl+/x+pSjfBUgGK2W4uvcILYFyrr9vPc3tPRjAG0UVFA0N8dCTGwHrymuKPm/btoYZFgPuWKyWkgeXLond3VpAAf8JP6ms6mXh8XPMrKlM6O+koSaIQuevuPmyedJIBUHwLU4DI/NNXyw9A8Phz2a37GBT/XS2jJvCcYd2W+5v9jyVfdoGd5bqvsRccUkQ0sWccDS39zDz4Bvh7a888WL470TCR6qkc9xchg45nStb98Yk8vkYjEwIb3xgQ1bOm637unRhAzdfNk/GgQKQwfqwZQt0dNCzb7/lx2a9zXY7NVmxanPcSx/Q884/PvSS/sdMnF9XFxZ+kilfLmyf0znsbFJjU3PGzu9Evs/vZ3zl8WMuiRtJde8RttdNjmosh8p18svbV77IRW+b69gQbn3g+zx23Gksu+iapM8NLl0SrTx+vJ7jJxXhxyG5M+PHU9Lby9NfPH3kXgiCIPiYdAZfJUODHHdwF/+etpDq3iO8/fVnHfev6j1CX3GA/pJASmUVBDsiJxwzD+oXYV2BMrY808SJoX2yNdFI57i5DB1yOpddWa32TwW7CWHsNpN0n0k276tfE1ML2SEj9eHgQQBmF/ditayPWW9zJRQ7Ha//gC5rOL9PhPCTTPmy0UZjPWiqgwHLF1iTa4J5T8yd7/P7GV95/FgJL9W9R+goGxu1rTVYBcDg/gOAfUMI9vdS29tJdd8Rx/MGA8VcedoUgoHiuO2RLomNTc0sXr6a6dc9xOLlq0eUx0jhp6hIe8R43eOnS4cVZGQ5d4DxoaSlIQMtCILgVWxteczn1n6gus+pLXcWaKa3NjNmeJBNE6azZfxUxvUcpq67w3b/qr5uDoe8fQBqgiIACZkhcmIx89BO9o4dx+b6Y5iwb8Qb2m4cla4YkMpxzfbX3N6DivksW6FDy5bMsh0D2pVVhcqaLslOTNN9Jk7X6ncS2XbBP5jP8j/PbQLgnFrDsd4ma2tSrStO7e/Y4tA8yUL4SaZ8mW6jVh40Xf2DBIqiLax5jnwnas/3+f2Mr4SfuIGuYVDV10VnWVRq57DHz3FKVwCrBgIwqVOLEGbuBJOZEyriXA9vWjrP0SXRzu3s/hfeGEmSbBIMel/4ScfjR4QfQRB8SiIX4sjPrTAHRt+6eC6B4thp6QizW3YAsLn+GLaMmwIQl+cnUKz44OlTCRQpKvu66CzV/UigSHHDJXPTvFJB0EROLI47uIvXx09le+1kZnTsDW9PNNFIdZKU7AQmtv0ZEBZ/shk65BSWsmzJrDgByixbJsJI7CaENcFAVgSaQg3JkvCQwiHyWZovTDas3cLlpzTY1ttkbE06dWXZkllxggno/vzKGaGXNxbCTzLly3QbtUuJMqakiOLQqtnFSnH5KdpDK1svAtyS7/P7Gd+EejU2NdPVPxi1bWx/D8XGMDOObyAYKA5X2taQ8HPFNB1yZDYE04XNfEt7VEj4qeqNFn66+4d5+rpz4srg5JL4s5VNDPQOQfHILe0ZGOKnD6/nUhgdwo9DcmcRfgRB8AOJXIitPjdpsEgwaPY7NeUBOnoGMEP/Zx18g0FVxNa6KRwu1V6rxx3axfNTThz57rvns3RhA4uOqWP8vb10llZYnkMQ0sFMstrbP8DMQzv560lLODK2mokbHg97LMeOo2JXsEs1aarTca2wan8Guu1Zjdsyid0YcOnCBq65c63ldzLxBtouCa4p/mYjwWkhhmRJeIjHePRR+P3v4c9/1qtbJUHks6zr0YvPVB1uY9WmFls7kIytSaeumJ9breq16MkteicL4SdZW5jJNmpnp7r6R+7BkGFw75pmFh1Tl/dE7fk+v5/xjfCzYtXmuFW4qnt1iNY7zjyBvoXzwo2lbJJeOn1hcEQoimxQ5puiSZ2HgHiPn6Q7asPgVz/6FI/MPJ2bz/5Y1EftB9v1H5HCj1shJZ/ECj/9/XqJ9xKHKiOhXoIg+JxELsRO/YOZ6BVGBmVm37N4+eqohMyzD2xn67ij6S8JsKdqPF2BMo47OOLx01ATDH936cIGGFcCU6ZmfXIrjD7Menb7X/9F+UAfLVNncM6pM+Bft8PWrTBvXni/TE+SnI5rRaZd/GPzWpw9u57HN7UkLaQ0xOTcuGjjk5y073X++K7PpVSuSBJNCEW0cIeEh3iMv/8d7rgDfvvbkfynLjGfmTKGqe3Wws+47vaEz9LO1sTaATuP3ub2HqZf91Dqosz9oZWja2v177o6aGuD0CrU+RJcna45EtOum+OQfK2qlaxIJozgG+HHqjGbwg+1tfGN5bsVUSJD7BspgEmdOg2YuVpK+LjJ5k545RWmt+1hetueuI+OCWoVe01LH19cvpo97T08dmSY4N5WJid3ltwSm+MHtBhUVWX/nQTJnQERfgRB8DSJkiY6DZAiXcIhekIW24fNbnmDlxpmA1A2JsDWcUeHQ72s8sfN37qHTTUN3LR8tQxwhIyzdGEDS/fWwPfga1+5XL/A+Tp6SfeQ8GNHLifUmUxqauWp9Kdnd4Y/T8ZzKfYN9IWbn+LcrS8w8Rc/SrpcVnjZA8cvyyrnMhm44AJzPtDRkbTwYz7Lqt4uSoxhAMZ3tSf1LM16a+YKM10LYv+PxamfT0hrK9TU6KXcQQs/w8Nw+LDeniesPGjsMO16vm1Svs/vV3yT48eqMZvCz+f/vj0+rry+HlpG8rtbvZGKyvETkTg6SY9D+Mc/ABgXcjc0CQaK+cypRwHw+6b94VjRzqISXtvRwjcb1yd5ohwS6/ETuc0OJ4+fmhqd2FqEH0EQPMzZs+sdE8ba5fOIxGoJ1sg+9cjpnQABAABJREFUrLKvi6MPH2BT/TQASkuK2DnxGI47tCscqw/aS2jadQ9x7Z1rKes+wuHSCslLIWSPV1/Vv+fMgZkz9d+vv57wa7Y5aBIkOE+FTCY1tVoOPRa3yz3H5tw4uq+DssF+lk6Kzy/pdZLJ1+QmJ5pXkikXctJqXxIp/CSJ+SzrIuZdE3o7LHOOLbjxERZ++5GoOmiVKyySyNxhdqS0FHxr60iYF4z8HQr3yhdWOYPsFpBIVyj1kk0YjfhG+LEy2HX9WvjZOhiI73BihB+rN0+TDmujU2IMUz7QG97eHuGO74qQ8HN8SX9coq1zj9GJp7tKRsSQvpJSygb7+NOzO71b4VMRfpySOxcXawMnwo8gCB6lsamZe9c0Rw0CFYQTGoIeINm9CYwkts+J7MOOb3kDICz8tPcM8FrdFCZ3HuTpzy4CiBuUVkUkd05pwCkIidiwAY46SvfV1dV6HOVC+Fm2ZJZlIvMjvYMZH+NkKqlpY1NzVOilE249l5YubODp685h+/KLmB8IvQjbvj2pcuWbZJPaOoX5eS2ZcqEmrfYt5nygvT3pr5rPclaRnncMFhUzv7Q/KueYWe/aewZo6x6IqoNuRF8DEq7OmbRX46FDnhR+INp+PX3dOdxwydyMC6VeswmjEd+EelnF89UP6gYXuZx7OK68vh727Qtvt3LxND1+QL+B7R4z4srvmiNHGP73kxQB/aHl4394xYKRjuQJPWjqjRB+ekpKqek9HL4eT3Y6ZqhXsh4/JSUjLoyxjB8vwo8gCJ7FLnHs45taorbF5vOwIjZkOLIPm920A4DNIeEHYFNNqB/YtIkVq49ElaN4eIiKAZ3c2UTyUggZ59VX4YQTRv6fOdOV8LN0YUNUIlOTgWHD9RgnmXChTLj4JyOcpvSG2xx/btsGb35z8t/PE8nma3IK8/NiMmUJD/EQaXj8QOhZXjAVfgkls2dRd6QdsK7DkfQMDLkKaWoItXsngThp25BDj590QzCzkUfHtU0YHtZzyiRDAIXE+Mbjx4qSTm0sOkrHRm3f094T5/Fj5TF0VOchWoM6Z425sleyauazv7mHosEB1kyeTU3vEfa2HolWL0NiSU9gRPjpDYyhbKB/pKxeJNVQLytvnxAHy6pYs+Z1ce8TBMGTuM1VYtWfxNLVH+/tYL5Rm93yBofHlNNcVR/+7PXxU/UfGzfGiUpjQ3noIoUfyUshuMWVa71hWAs/W7a4OkdHj/XkyM0YJx9vgd2OvVJ6w93VBZ2d+m+fefwkm6/JaVllryRTltASbzJwQM/RPvfzx1N/LqZ4dOKJsH8/GEZG6pfZ7p2OlZJtaG2FceNG/s+Q8BNbx7/ZuD4jNjXWCyhd0dS1TfjNb+Doo+HIkbTOJ8TjG+HHamBQ09vFoCqia0x0xzO5JgjjxzN04ACLb/4n0697iBWrNnP5KQ1hF89jyxW1vZ0Mz5kDQFVfd0pun813NtIdKOWR40+n2Bimqq8r2g3fSvgpGUPZYP9IWb1Id7dO0lxUpBM8m9uc6O21TuyMfn5re4op72wX9z5BEDyJnT0uUirKVi1d2MDlpzj3EwNDhq1Xwby2ndrbJyKh3M6ao+gvDvDaE8/H5RYwV540Q70kL4XgFteiyu7depA9d+7ItpkzYc+eEQ9gB9LJ8+P0Fjhb2JU3GChKPxRo//6Rv30m/DgJOVY45c1J9ljZQEJLvMnK57YR6NKT+sreI6k/F/MF/wknQE8PdHW5ql81wUBcvTX73ch2b3esYqVSsw02Hj/r1m1LWZy0quN/fnZnzm2qG1zbhH/+U9+rp57KQalGF74RfqwGBlW9RzhcNjZq8Gx2OBsGxlDc10dry4jQcO+aZpYtmcX25Rex+n3HATD+9FMAuPcDc1NSM0/Z9DzPTD2JfWO1glvbo9/yhNVLU/gpiRR+dI6f4iLl3cF7d/eIp08GPH5WrNpMS2llVCI2LxghQRAEEztPniHDiBuUxoZ/WbGnvSf+bfNLu5l78A22TpwWte+Y0jH0TjuWA881xeUQqgp5/BwurZC8FEJSuBZVNmzQv2M9fsCV1086eX7y4RliJ1jcfNlJ6b/hNoUfpXwn/CSbANkpb06yx8qGZ04+REUhMb+9/8Xw3+bKyj0DQ9ywckNyB2pp0XOUadP0/wcOJPTIDQaKueGSuXH19odXLGBHTLu3q8M/eO/85G3D0JBeuj1S+Akt6/7EfzanLE7ahahbke8oE9c2Yc0a/fvxx3NUstGDb3L82C3n3lGmB8Kx8Yff+d8B5gLjejrYPUZ7ofQMDPGVu9Zx7Z1rufjgRn4M2j0QUosx3bKFae17+e2pl9IeChmr7T7M9roIlTgkllx42rH88jXdqHsCpQQH+/nBe1IwHLmiq2vE0yeZ5M42wk9zew9t5VXUdh/WLuUhsS5RngxBEIRcYdrjr9y1jiEjeugUOVkwl4BNRE15IG656B/94XGWHjnMnLcvpqE6uu+q2nwSDY/Fv+EyPX5++YVz4Zxz0rpGYXThWlQxV/SyEn5efx3mz3c8Tzp5fpyW2c7WUuHZyF8Rxszvc8IJvhN+UrkvdnlzkjmW6bUQaStTWi47Bq+EmwnR9O87EP7b7N9AJ2JubGp2/8wPHtSpPSZM0P8fOMDS008HRupddTCAUnrhntg6mOg8GbUTHR16/hMp/IwZQ/eYIBVd0XPQZHJhJVOXs7HSYjK4up/t7bB1q/579ercF7LA8Y3wYzUwqO49Qlewkqevix8Ib0MLL3XdHeyunhjebg7mA3v3APBkYAJnQkpZ5c3VvJ6beSqlR7QnS13P4Wj1MiSWXPfuRVxXpcUhvvZveOUR74o+kLrHj02oV7FStAarGDM8yNj+Ho6EQhaKVaIFEwVBEHLH0oUNXHvnWsvPzMmIm8SQwUAxhkHcvsfs1QOam3aVQHXMYgBz5jD1nnspHeynr2RM+DvmG1Gqq5O/IGFU4ySqRPHqq3oCNX78yLbjtGe0mwTP4DLPz549MGlSlKf2siWz4tpVMFDM2bPrUxYD3AhGWUv0awo/Z5wBv/sdDAxAIL8TrmTI5H1xe6xsJYJ2Xf+FnDKzaGQl5cr+6LlFUs+8pSVO+IH81OGEmHl8IoUfoK1sLDW98bls3Ao6dnXcCtMD0+31ZEN4T3g/m5r07zPOgOee015SIc8oIX0ShnoppcqUUs8rpdYppTYopW4MbZ+ulHpOKbVFKXWnUmpMomOlw7IlswgURYsE1b1HaB1TwTQLt9CikBGo67b25DkqtKLXd94I3YJUPH7+8Q+YMYPPfnwJY47S5ztW9US74ZtiSTAYdmO99eld0NdH45pdyZ8zV2Q41GvIMGgL6klLbUS4V+xbdUGwwyu2SCh87CYFinghx4ra8gA3XzbPciI8p2UHAJvHHxPv0n3CCRQbw8w+vC/qO+MHRfjxEn6yRa5d6199NTq/D0BlpV7e3aXwkzB/w759MGUKfPCDMDgY/twuXOjxTS0phel8s3E91965Nn95Xfbt08LWqafq1Wl2eXislyMShXFlyzMn2XAzt+X1Cn6yRZG8uWZk7F8VI3ok9cxbWrRYPTH0gj8iv5bnnqEp/EQmdwa6Kqqp7u2M292tOGlXx4OB+Cm+6YHphrzlxzLDvP7rv7T9/Pe/s3s+j5Ppeuwmx08fcI5hGPOBBcAFSqnTge8CPzQM4zigDbg6rZIkYOnCBsaWRTsoVfV1hZdyj62Q775gIQDjug9jxeTOFg4Fq9jUH9BLkCcr/PT16djDCy5g6cIG7v1/lwDw9dMmRCuZ3d0QCND4yoFwAzKXdr/x7jX5N0R2dHUlL/w4JHeuLQ/QWq49niLFuNo8ux0KvsITtkgofKxeNIB93HwsvQPDgPXAbVbLDpor63V+OmImsqHFBr55LFGT4PfPDgk+Ivx4Bd/YIqccLGEMQ+f4iQzzMnG5pDu4mGRv26YH8n/5C7zvfdDfH1XO2Nw6qYgBjU3N/PnZnXFtNad5Xfbv114IZqicz8K9Mo2bCWS2EkG7qv8plNdD+MYWmTQ2NfP6hh0AHKioDeewM0nqmZseP/WhFTJDHj+efIY2Hj+1R0+kLkb8SmYBB7s6bo5DYnErrOUtP9aaNTB1Klx0kV7OfRTn+clGPU4Y6mUYhgGYNTIQ+jGAc4D3h7bfBtwA/CLlkrigvTv67alO7jyyvG2kW+jb36Zz90w3ulHoVVkivUuO6jzEvsrxTK4t14PpZEO9nnpKCyEXXKD/r6iAMWNGlhY0CXnORDag8Apf3d185a51QHoxzFmhuxvM0LTgSL4iR7c/B48fw4A2Mw9ShMePOPwIbvGSLRIKn3S8Ec0klVaRrLNa3mBz/TFR28IDseOPh6IiTu3Zx9M3fmZkh5ue0b9F+PEEfrNFCV3r9+yBw4fthZ+HHnJ9HnDI37B3r/79sY/pEKh3vxvuuivuhZE5zrBrgU4TQ6fv5Syvy7592gNh+nT9v4eEn3RDN1L5vpswLrtwv0wsgJJsqE62ws6ygd9sEej7++7OdkCvZhmZ4yf2mSeqb4MHWrh7ew9f/9ZjvFxWwYEN25hBbp+h6zZx6JD+HSP81B8zidJDLZb5at1iVcftchG6Fdbylh9rzRo45RQ9n1y8eFTn+clGPXaV40cpVQysAY4DfgZsBdoNwzB9dXcDWbeGUXGMhhFK7jw2ap9whayqgkCAz59Uw9FXLOAbf1tPV//IzZt8uIXmqnrOnl0PNTXJe/z84x9a6DnrLP2/UvRU1/LY6pf54nUPjTTckPAT2VB6Q7kbygb7aQutFgMeE3+6u7WLN+jY9ECAzdv2O8fb9/bqe2lBR88ArSHhJ3JlL7ucAIJghVdskeBdMjGxuf6+9QynKUrHJrkFGDM0wIxDu3l8xqKo7eGBWFkZHHssbNwY/cWODv3ZGE95649qvGaL0qr3VomdTWbO1B4shw+PvAxywHGSbQo/3/kOLFoEn/0sXHop/O1vYc/i2CS/sSQSA5wmJTnL67Jvnx4/HX00FBd7RvixSqB87Z1ruebOtTS4qDOpJmB2M4HMarLtJPFbQmiv2aJE7GnvobbnMB2lFbQFq2g4PJLoOdIbK1F9e+CZLVzc28PO4goMoCVYzaZ1W1nf1Bz3rMoGepl8+CDbOTqj15JUm7Dx+KGujqruw5b5atMhXTE1L/mxOjq0h+lVVwGwYfYi5j62nEVf+DOlDZPyZhPyRTZskavl3A3DGDIMYwFwNPAmYLbbEyilPqmUelEp9WJLS+Llb52IdCMODvQxZngwTvgJV0il4Kij2PXya1x/X7ToA9rjZ29VvV6St7o6NeHnzDNhrD5/Y1Mzb6hyytrbotyxdu0+COXlUQ0lUvgBjy4tGZnjB6C8nHWb9zi7/Tkkd55cE6StfGTls8jtguAWr9giwZtkwi32xgc2uMrjkwqndDYzZniQTfXTwtviBmJz5lgLPzaiupAfvGSL0q73pvATm+MHklrSPSF792ohpL4ePvMZ+O1v4dFH4UMfCu9i9YbTJDJMJzbvwcbP/Bdceqljfq5MeI+4whR+Skp0yIJHhB+nZZ/d1JlUQz/chnFZhfvlg2yFnWULL9kiN0yuCVLXc5jW8ioOl5aHFy9oqAlGPfNE9e33978AEH6pfLCihtojbXzlrnVxXn9Xv3A/D972JcZn+N1JUm3CFH5iExXX1enPMhwCkUqYYySp5sdKi7Vr9e+TT6axqZlvd+ncTaftXO+NcL0ckw1b5Er4MTEMox14HDgDqFFKmR5DRwOWT8IwjF8ZhrHIMIxF9WYMZopEVuLqUDxkR+mI8BNXIefPZ3DNmrhGWTbQS21vJ3srx2vVLNlQr9274ZVXRsK80I3/ULCSmp6RBF09A0Ns29kC5eVRDcjM8VM22Bfe13PLmkcu5w5QXs5QV5flrmHl0SHUa9mSWQxWVDJQVBz2+Mm6AREKlnzbIsGbpBuT3tjUTFu3vRdioEgRKE59JcL3/ftuBsuCbJt3mv1AbM4c2Lw5KvktHR0S5uVRvGCL0s7FsGGDTjhqVZbIJd3TZe9eLYgUhYaeH/sYfOpT+kVaaNJj9yZTQVgMiBW6+nfvYfpvfgIrV/L10yfETVYU8IHTp+ZGSDAM7SFlekxPn+4Z4SfRW+JEdSbVt895mUCmgd/Ka+IFW+SGZUtmMb63k7ZgFZ2lFVT2dVne30T1bWC/9hRqLdd946HyGsZ1t1uGac9u2UH5QB91R9oyeSnJtYnWVt2Pl8QE29TW6nxnifKopkA6Ymq6wlFKmImdTzmFFas28+L4Y+kcE+SMnS8DHnWUyCLZsEUJQ72UUvXAgGEY7UqpIHA+OmnY48C7gb8CVwH3p1wKl0S6Mr9ljB6cF4+rQ4G1W+iiRRzz4EOU9/fQPWZEHZvUqeMs91aOpzoY4F8HBpi4fzdXL1/tzo3MTDT19reHN+1p76GtrCq8YkuY7m6YUB4+5jV3rqU3lOMnODAi/HhuWXMLj586NWi5a1h5dEjubF5/x4+rqes57MqtWBAi8ZItErxJqhMTs29JJMBf8aYpLDqmLiocoatv0DKsK5YT9m/j0o3/gm98gwdverfDjifo5Z8//nGdM27HDj3pPvnkhOcQcoPXbFHa7uCvvqrrndU4xGJJ95TDyvbu1Uu5RzJ7th5vHDwI9fWO4QV27fQTz98X9qC+qHsnA5fNz1/I0OHDeixkrjI0fTo88EBuzp0AN8s+JwqVSyX0w0thXG7wU3m9ZovcsHRhA+1j+nmltDYk/HRz87tOjLu/ierbTKU/OxQ0hZ9qTt29wfKcx7TrMNPgwQOWnzvhZO+SahOHDsWHecHIttbW6BfuGSpjOmRsKXu3rFmjQ2QnTGBPew9GUTHPTzkxLPyAd0Mus0E2bJGbHD+TgNtCMaRFwF2GYTyolHoV+KtS6iagCfhtyqVwQWNTM8vuXsdAKPFCX4sWb95x5gn876cvsv7SKadQhMHc/Vt5YcqJ4c3mUu4t1ePp6h/kgCrjuL5u1/HKbNumB0izRhQ3M5QpMnExQI3RD+XRb2rNUK/SwZEVLTy3rLmF8DOvtoRgoNg+XtTB4wdC9/SYyVx5bDlXZjiWVRgVeMIWCd4llYlJopwikdy7Jv6l6TvnT+LeNc0Jv7/s37fRVlbJFSVv4rNNzfZ9zOmn67xqf/ubnjTOnAnnnw+XXZawfELO8JQtSlTvHScFhqGFn/e+1/rg5eXQ0BAWflLN8wJo4Wfq1OhtZgLkHTugvt42L8XZs+st2+m4rnY+uPZh/nH8GZz3+nOUPPMMS2+6MH+T9H379G/T4+fYY/VKQ7Fe1DmmsamZrj7rl3eRONnKdHKG5HwCmSY+Kq+nbJFbaro6eMt5p/KWuXPhP3eydGa8R2ui+vaBY3VdNdNIHCqvoa77MEXDQwwXRXhJGAbT2rTwM9sYWT3LjViSyN4l1SZaWxMLP1OmWN4vJ9KyyRkkI+KTmdiZkX7tmaknce7WF5jYeZD9leM9G3KZLTJti9ys6vUysNBi+zZ0LGlOuGHlhrDoA1DVq8OOftZ0kLfYfSlUeU5u2RYl/Ew+rIWfw+OPYmDIoLO0PJxVvmdgiBsf2OBceXfu1G9zIkSOZUtmsfvBKmp6OsNGJ1CsOKZMQXl5uGFCfI4f0C50yZIthZeBAf0TI/xMDhjcfNk8+3P29joKPwCMHx+/8pkguMArtkjwLslOTBqbmvnKXetcC+89A0P86dmd4f+b23u4d00zl5/SwOObWtjT3kN1MEBX/yADQyPHPG3nes7etobvnPVRXust5po713LDyg3ccMnceJs9a5YW3mPdwQXP4DVb5FTvE04K9uyBtjbrxM4mEUu6p7XKyN69cNpp0dumTdO/t2+HU0+1fcNpl/vn4y80UjbQz4q3fphpXYeY/cwzzmXINvv369+RoV6ghS2rHEoJcDvOc9rPrbidSMTJhSdM1sa1BYrXbJErDEPPA8aPHwlh7uiAysqo3RLVt1PG6uXKSydNRPVBa0UNRRjU9RzmYMVIHp3ansNUheZ4Jfv3MeP6hzn92Fpe2tmRUCxJZO+SahNuhJ8kcPJUzvUqdBkRnzo74bXX4AMfAEb6tf8cMx+AM3auZ9WC8zwfcul1fDOyjHWlN3P87FbWoUWAdimePJkPlrTwYEg5LFYq7PGzuUQbnM7SCqr6u8OCTVv3QDjPg2Xl3bUr/q0V0BaspgiDqr4u2oNVYEBxb0/ccu5mqFdZKNQrlXi9rCq8ZpxpTI4furudlUeH5M5hxo/X+QQEQRAyTDKDMNOGputt2TMwxOObWqJW5IicvBQBX/3XbewbW8dtJ78zvE97z4C9zRbRR0gCp3q/ePlqZ6Fm1Sq98a1vtT/BzJnaA400wsoGB6GlJT7U65hj9O8dO6KuJ7JNNDY1W05uanoO86Gmh3hwzpnsOWoagTMXw8o79bny1YZMj5/IUC/QwlaSwo/bcV6i/exEs9ryAOVjSpISWbLpCeMVzwUhy3R36xfF9fXRws/R8StuOda3lhYoLuYfN1wCSvH8it3wKIzr7ggLPwrC3j4AE460MmQYPL01XmSxEkvcrkjnqn62to7Yg0iSFH4am5q58YENjvkIY8uYbTKy7PjatVoUDIW1m9/7/t9LaCur5Ly9Gzjr29eKLUgT344uw8mdy8ayePlq+45r0SKmvLaRZf878kZsUudBWoNV9IUEmMNlWuAY29/D4ZhVwiA6mdSKVZv545qN7Jw8nY4Id/0VqzazKPTduu7DtAerGBg26Go/TGXMcu49oeTOwVBy51SSZWWkkdlhCj+RHj8VFfrNoBMJQr0ALfzIikqCIGQJt4Mwp9WDkqW5vSeuHzKFoE9c/t+csmcT1y35fLjPMcn1WzmhcLGr9wknLvffr19kzZ9vf/CZM/Ub+vb21Jf43b9fD+pjhZ/qaqitZduLG/iQxVgu0ls6lo+9cD9j+3u4a8lV3HzZPGa81gF//T28/HL+cmLFhnpFCj9J8M3G9VHehSZWNiPReNCuDrR3D9D032+3/CwfZHVcK3gH0+t//PiR1SqTWWDHpKVFHyOUm+xNp80BYJbq4TVGcr/+6791XtZhFBOPOIsrsW0lo0uat7aybag03s7Vuxd+kglNz2VIVEaWHY9I7GwS7tfWnM87X3wRFkxOp5gCSa7qlU9qywNR/1f3HmEYRWdpufMSpqecAps387P7Xwo3lEmdB9lbOT68y+FSLXCYSwpa0dzew7K719Hc1s2kzha2ltWx7O514XPtae+hLbSkYGSen0Bfr+Ny7rHLF7olI43MDivhJ+TxY8vgIAwNufP4aW3V+wqCIOQJJ1sZDBQzc0Jy+Tj2tHXx9s3PULNpPdfd+ZLuG4aGuO7pP7G1roG7Tzo/6XIIQro4Lgfb3a2XU7/kEuvEziYRK3ulvMrI3tBb91jhB2ifeDS7X3rVcixnJ9BW9R7hoy89QPO5F/KnH35Mj6Pe/Gb9YT7Dvfbt095G5lv8CRP0+CkJ4cdO9DGJtRmJxoOTa4J88rl7+c09N0Z9Hlk3GpuaWbx8NdOve4jFy1fnZcnkrI5rBe8QKfxEevykcpzIlcgmTADgQzOCTK4Jsqe9hxsf2MC01j0Mo9hcf0xC4SfWXmZsVaXhYYy2Nlbt7Y+zcw/s7NX7uBB+3L6wyvUqdBlZdnzNGpg8eUQ0j+Scc3SaFY+skOhnfCP8fOviuVHL6Fb1HaGztBxDRV+C+XbA7MQ+un4YDIO610bCi7TwMy78f2dpRfiYdkMfBQwMG9T0dlI+0MfeqnoGhg1uWKmPO7kmGF5SsC5C+Ckf7I9fzj301rdyeCDlhpmRRmaHuWx7MsJPX2iFMjceP8PDqan7giAIGaCxqZkim4lusVLcfNk8trUkt7Tqm994mV82foeHbruGNbe8l0mXvxM+9CFm7N/OT866iqGiYsvvjbZEhUJucZy4PPYY9PTApZc6HyRC+El5iV/TY9hC+FlbXMOk9v1R28yxnN2k/yNrHqCyr5svH/fOEbHiYJEOF8mn8LN/vw7zMpesV0rnMUpiwnLHc7scP4+1GYnGg8vOn8nVa1ZyztYXw4uKRE4MTS8Cx5eoOSCr41rBO2RK+GlpsRR+Hnv85XBdbuse4Jj2Peypqmd39QQmdNmLK5F50UwRdMWqzVx+SkP6S5p3dKCGhzk4JvqFUs/AEMv/9QZDY0r508NNCYVXNyJoTpZdN1mzBtrbMyOQRSR2juOcUCj96tUpFlQw8Y3ws3RhAyvePT/c+CYN9dBhEZYFI51Wc3sP64/SS5HO27cl/PlRnYfYWzViLA6HhJ/Kvm4MsKy8ZhYIMzF0c+j7Zu6hs2fXhz1+akzhxzAIDvRCRUXUYKkv5PFzyay6lBtmxlRoKxxy/NjSG1Ks3Qg/EDb8XnjLJAhC7sh3m3fK7RMMFPOD985n6cKGpHP/nLhf9zHL3vFF7p53HhXdnXDnnXDaaZz19U/Hea2a55NEhUI2cRRq7r8fqqqc8/sAzJihBYzXXgsf8+nrzmH78ot4+rpzHMcxZnv/+s8fAeAfh+L32VI+jqM7DuhQsAjMcIhYgv29XP1CI4/MPJ3naqZGiRW75yzMv8ePmd/HZPr0pIQfJ9tjZTMSjQeXdm1nYuchijCY1rYnbmLoFGKVS7I6rk2SfPdTfiDle5Qt4ae2lsGiYqo626J2m9a2l+21kzkwto4JNh4/ZpsA4kTQe9c0s2zJLFf2zpaQN097WWXcR80dvRwaU0Fxe1tC4dVJBA0Girn1igWplzFZ+vvhLW+B//7v1F8ImBw5Aps22Qs/s2fr+vLssxkr/mjFVzl+omLYN/wfr+6Pb0CgvXPMTuxgRS17Ksczb98WFFA60Etdz+GoUK/OsPDTRUPEChKRMZjX3LkWgMmHdX6ayO8DPL6phbagLo/p8RNerj3kORMuv2HALYq5Nanf/qyurpBKqJfp8eMm1Avg4EEau8dKIj9BGEV4IXmnnau06eljlqNYqaTEn9kHdrCncjx3n/R27g5t2/HNt0FJCUvLylh6yhRZsUbIC5b5f4aG4IEH4MILYcwY5wOUlekkzCHhxy2R7X3CkVaGUSz79356JzZHlafzqKMJDvYxvrs9ajUes43E5rQ4bdd6qvu6+OPCi6LO1zMwxD2lU7jmjQeguVkvQ59r9u2LD1WYPh2efFKP/ZxC6kI42R6ryVTC8eBf/xred9WFR8Hl50R93yshVrlYNcwNXuinvE5a9yhS+AmGhIxUogDMlcFMlOJgeTXjuqNFpGPa9vLQ7LdwYGwd47s7CAwNMFA88iKmoSYYzsmXMBl+qoSEH3OeGIkC2srGUtM7stS83Tmt7CFATTBgvUpoNtm2Tb/0f0SL+mklfl+3LiqxcxxK6Tx069alWFjBxFfCTxRtbXTaePzEdpfrjzqOE/dvwQDmKx3G1DluAoEixcCwXs4dYPxAT7iTia28Zgb1SZ1a+NlTpV0Kzbe4e9p7MAJl9BUHqO3Wwo+ZvNkUUCIH/a+WlLL7jRZmkvryldlYXaGxqZlnbnuG7wFX37WBiytn6HOYwo/dwCWZUC+AgwdZsbEvp4n8ZNIlJIPUl8zjheSddpOZYcOIKsOVp01xzLMRy5wD29k4YWTFjooxxTA2uo/K5oo4gpAUzz2n35hfcom7/WfNgs3JeYBEtvcJR9poLa+ic1jFtffTz10ED8DRHQfCwo/p6REpBphJVt+yYy29JWN4YUr8KlmP1x3HNaC9ft7znqTKmxH27YMFC6K3TZ8Ohw9DW5v1cs4x2NmeD54+1dZ+2NqWwUG4+2646CJ46CH9Vj2GTCWwteozITkhx+46ctkfe6Gf8jR//CMTvvNzri8fz67qieyqmciu6om8OvFYvnLXOq69cy015QEMAzp6BuKfV0uLDoWsqdHziUAgKY+fxqZmbnn4Vf7d2spvNx9hXMRCO4cr6xjX3R7et7qnk9reTnbUTuLImNBcr6s9HPUR61GWNRH0kHZ1tPL4MULba3o7E57TK+IoMNIfbN6sV7ueMiX1Y1kkdo5j/nz4+c/zu2pjAeCbUK842tpoDZQn3g8t/Mxobeb4siHuvFAvF/g/X7iQFe/RoWOmgPT+2dW2jcfMMTT58EH6i0o4WFFNoFjxrYv1wGNyTRCUojVYFfb4CQ6MCD+xMdQ9JWN44dVmvtm43hOx1TCi4He3a+Ozo1eNlMX0/jFDumIxtyfh8ZPLt0xeiWEX/IHUl+zghTfLbvNI3LR0nutjjhkcYEbrbjbVTwtv6+kfkvoieJeVK/Xg+R3vcLf/8cdrj58kvOAi23V9VystIVEntr2fca4e7J802GYZJmCGljWE2ujiN9bxYsOccNh8JG3Hz9VeBPkI9xoehgMHrEO9wHW4101L5/HB06dSHHrJVqwUHzx9alI2Kcw//6k9Iz7+ce0BZSHeZSLEyqrPXHbPOr0oSpr9aK77YysRzGn7qKOvj6r2g1z66hN844nf8X+NN/PQbdfwkTUPMGQY4dw67T0D1s/r4EEYN06LP0rpcC+Xwk94nrJP5wTbUVQedezqYxqY0DNyrGltOrfYG7WT2R/K7Tpj4LBtOFLW8kyFPH46gtYOCx3BSmp6ooUfu3MmE2qbVSJtyT//md6x1qzRnpKTHVbtmj9fzzVffz29c41y/Cn8dHXBrl301I63/Li2PBDVia0/Sicm/O+GPti9W288+uhw41nz/XcDML/K3gXXzDE0o7eVvVXjmVxbwYp3zw83OLPjbCuvojbUeGsY1F8uL497g9BbMoaS/l7ueG6XJ2KrYeQthylY9QZKR8piCj924V4pePzkMpGfV2LYBX8g9SU7eCF5ZzKTnAaX5Tru0C4Cw0NRHj/DIPVFyC9HjsBHPqK9e2K5/35429tGllNOxPHH6+OZy5W7ILJdTzjSxoGxdXHbAR1GBnz7pArHycyyJbNo6O9kTssOnp62IO7zYKCYL184F049NT/CT2urfhsdG+p17LH6dxJ5fm5aOo+tN1/Ijq+ewdaPzUxN9AEd5lVVBRdcYOu1lXZ+Dqz7zIEhg4HhaKEwlX401/1xsUPifwH4xCf41DW/Yv41d3LSl/7KhR/5MX3FJUzstEjgFSLqecWGaNXUuBZ+zLpgRla0Bauijj1x5lSOM7rDz+qYdr2a4I6aSWH786cLp9jamazlmXLI8VNbHqCzvJLqiFAvX+T/27RJi9wTJ+qFAtLBKbGzyfz5+reEe6WFP32lfvtb6Oxk3GeuJrilOKpDCAaKw144pivcweNPBKDm1Zf55at7+BRw9l+38KV3lutGP2aM9lRJEGO6dGEDVPbD/FnheNCoz4DuO2qo7TlMQ02Qr86fAr8Aysvj3nD1BEoJDvTZxnE3t/fQ2NScUyXXLGNZKEStJ7T6WHN7D1/71xa+C6x6fhtL3jEu/stuPX7Ky/U+Bw+y7P3xsarZMnZe8DQQ/IPUl+xgFZ+e6TYfGxJw9ux6Ht/UEuUWffNl82xdpSO/X1MeCIcEOzG7RU/oNtZPj9ou9UXIK3fdBbfdBn//O7zwAkydqre/9poetH/2s+6PNSvURjdvtlyZy4rI9j7hSCuvjT/Gur1XVmoPgB07HI+3dGEDDav0BOqZY+ZTaxdOsngxrFihVywL5k5UDotiRx0VZUeOKxvmUdA5MZLla1/Tz898aZkMfX1w333wrnfpcdfs2fDnP1uG7KcbhpqMrUvWLibbHycKC0v0ud24PNmE/4WM2bYPM5ZXy8bSHQhSbkY52NDc3sP06x7i3pe2MLWmirD0U13tOseP+czHhbx6DoVWUw7XhQkTqGg/xHDoWU1r28swip21k6jqDa1YvHev7fGzFkoVEn76K6v1W6EQ5px17pZjqX31SRQkPOc3G9dzx3O7GDIMipXiytOmpC4Mp8PmzdqmNDRo4cdlDrM4Dh2CjRvhve913m/OHB0WuG4dvO99qZVZ8KHwMzAAP/gBnHkmb7vqEm52MOCRjab7tw3sfOTfVIypoDVYxfau4ehEZG5dDXfu1G/JLFi6sAFOmQlr12ph6Omn9Qfl5UyuKY5yE+0rGUPZYL9jEr9cJ5Mz47zLB7SI01My4r1jikC3PrCOnqMmx5fJrcePUlrpP3gwp7GqmYphF0YHUl+yQ7bbvFXCychcGabL+c2XzYsT762+39Y9QKBYURMM0NEzQJGNvZ5zYDu9JWPYURftpiz1Rcgrt92m8y50dMDSpfDUU/rly8qV+nO3+X1Ae/yAFo3OOsvVV8x2/f2/b2R8dzs94+vtPUmmTUso/ACcuuUlqKnh/t99EYqLrXd685u1582LL8KZZ45s/9Of4OWX4aabEie0ToWQ8PPk4aIoO/J6bxHtwUraXniF6U7ft2LtWp2o+tAhLY4lwz/+oXMLXXml/n/WLF0X9u+P90pKE7s+027fTBzb6jiJkg67SUrcYHM+tx6go4HYvrx7TFl47uCEAVR0ttE05mi6zJfbSYR6mXWhLuTx0xoSfsJ1YcIE6O7m2HLY2g3HtO1hb+V4+krGcKi8mMGiIkr27El4bRmfh7S2QlUV//Oehdbjn9lTYaCX7Tec6/gC/ZuN66PGNEOGEf4/5+LP5s1w+eVw+unwl7/Ahg1w4onJH2fVKh0me8EFzvuNGaPFH/H4SQv/hXrddZcWX776VSBxrKO53OC/q6YyZ+/rHNV5kH2hOM+egSFufGADC258hK0DAR58chMLv/2Ifdzw0JDugJ0SWIVEDSBqdaxlS2YRKB5RQntLxhAc6ufK06bEuRWa5Dq0xHRxHAn1GhkYmcJPUU+3dZncCj8QdY9yFavqpWVCBe8j9SV7ZLPN263YFYmTXbULV+js1WG7lWUlUXbcZPaBHbw2fipDRdF1prm9hxnXP8w3G9cncxmCEEVKyyZv3w7//jd86lNwxx1aQPjYx/Rb2ZUrtdt8KMTKFVOm6AlJkit7LV3YwFMfP4nA8BAfvvzN9u19+vTEwo9h6DfLZ58dJfrE3p+Hy0PXFRnu9ZvfwIc+pD2BLrlEpwzINPt13pGfb+yKsyM7qyeyf118YmUTy2dsGCPJmDduTL48f/2rHm+dExK5I722MoxVnxkoVgSKou1lKv2o1bEBuvoG49pCorAwN2Fj0v+7I7IvrxxXQ+VgYuEH9MrHLWWVI/c8CeHHfDZmLtXWYBUA3f2hujBBL7zztZPrCAaKmda2lzdqtYdiaekYBsbVQwLhxy1J2eVDh6Cuzn78YyZ9b4tYit4weOzeJ/j6B2/ke2+7iodPWcKlX3gftz6wgivWrWJq295wzrU7ntuVkWtyzaFD+mfWLDj3XL0t1XCvhx+G+npYtCi8yfbeyspeaeMvjx/DgO99D044QS9BmoBIZf/lo2ZywWv/oWR4mM3jp4b3aeseAKCztJzKvi7augdYdo+uVHEDlL17tfgzdSq2jB+vG+7Q0MjAwsyPE/GiuLeklNKBfhYdE4o5tVk9JpehAub1dv17iJ6SUgw1ogua3j9lA33WZXIb6gXR4liO8FQmfMHzSH3xJ27tZbKhA6aXT3vPAIEiRcWYYrr6Q5MHw2BOy3b+OeNNtt/N2xs5wfekvGzyH/+oPWw/9CE9Zlm+XIcNNTRob+RvfCO5ghQVwcyZqYkGZmiFU4jYtGnw4IPO4QLbtsEbb4Rf/IH1/fnK482cOW0Glabw84c/wCc/qRNZX3wxfP7zcN55epUrF6tsuSbk8bNhON4zZFf1ROa07LD8mt0zLtu/hwuOhPJ+bNwIb3mL+7J0dWmB78Mf1uERoMMyQD9DG8/1dFaZhfg+02pbsv2oub+5uq5Je89AXFtIZNvd2H7p/5Onalw1C8YEaKgJhsOkzTDMKB9Zw6C2+zBtwaqRe15T4zrUK/ycn/oLoHP8AOG524RJxbwZePt4xc2XzePYH+7jH8edRkPoGQb/McUx1MstSdvl1lZnW2N+1tqq7eTwMDuXvo/zHrib80K77B9bxxs1R7H4jXUsffVf+ryV9TxwwltZ/raP2B/bMPScNJMrYZn9wKxZun85/ngt/FxzTXLHGRrSnokXXaT7GBLc2/nz4fbb4/NECa7xl/CzapV20/3DH8IVxIlIZf+ViTMAmNKxn39NPzlu38OlFeH4z4Ehw3rZxl0hRdXG46exqZntLx3iWsPgwhtW8u1gM4tAJ3f+2+aoPBE9gVIqj7Ry4wMb6B0Ytjwe5D5UYOnCBjhxPGwYG+Xuanr8lA/0WpcpWY8fFy7dmUaWUhaSQepLdsjmsrxuww3sQgTsQrkiGRg2GOwfeWNc39XO+O4ONk2YRk0wQGfvoOUx7nhulwg/QtKktLS0YWjh5+yzR15ULVumx0+33KL/v/TS5Atz/PF0vtjEBctXJ9d+3Qo/vb1aPLHbz1w5xnzDjP39+de4mbzzmWf0JOFjH9NCz3336ZdTRx2lw5/OPFOPK48+OsGFu2TfPigro3LCOA53RHs/7KqeyPlbntchDTHjV7tr+MfdjxMOfkjW4+eBB7TXeWQujClTdM4jiyXdIQ2RMYRdn5kJ+750YQMrVm2OEn5A36ev3DXysjZRWJjbsDHp/5Nk7FgmDg1ZhlAvXr46fM+r+rooMYZpLa8euedJePyAfjZ/7e6go7SCweKRaezAkMF3XmzlQeDZZzey9KNzoKudK99/Dld+NVSuyZMzMv9I2i67FH7+/dxrXL9yH5+851aueulBfvmmy3hw9plsr2vgSKnpRGAw49Buztj5MudveY5PP3cvT09fCLzT+ti33grf/a6ew5oicLpECj+g7ettt+l0LMmc4/nntedQhDOH471dFErw/PLLI56MQlL4K9Tre9/Tb6vMeOUERCr46486bmR7VX3cvodLK6jsG3H9tXwrsDPklWPh8WN2mNuVNmR9+/Zz/zNb9IcWyZ17Qzl+2roHbEMT8uZa2t0NFRVR7q69IeGn2hiwLlMyHj/19Tn3+BEEIf9ke1leu5CASKzsqlkut8k7I/eac0AnbN04YTrtPQOSGFTIKCklmn/qKe0dc9VVI9uUgl//Wq94NXMmnBz/AsyJxqZmfnMgQNmuN9h/qDO59utW+AHnSdljj+kxoJlvCPv78FT9TD3O+PCHtQDW2DgyPnnXu/Rb5l27dCLoJFbbcmT/fpg4kWUXzI6zQ/vHTWLM0IClt4HdNdTsDCWDnjzZWfgZGtLj00OHoL9fb/vrX/X3Ir2EEnhteX01SyePTLMeJgrTkjCuLFFRoVf9syDynteGQrSOjK0ZuefV1dDZqeuxS8o728OJnSMxtz302DoefzDk8XfcyPyPSZMyEuqVtF12Kfz8ddU6rnjg11z10oP86tR3cfNZH2X9pJkjog+AUmwdP4U/nXwRn7zsm7SU1/CNLY9YH7enB26+WdumndaRJSmxebMWeEy7fd550NXFZ77w8+RCkh9+WIftvv3t4U2O91ZW9kob/wg/L7wAjz8O117rOilfpILfVl7NruqJAOEcP5HexJ2l5VT2d1t+N4yDx4/ZYZpuh7U9hynuDVXe8vK445nCjxPJLqeZMbq7obw8aonP3lCo10cWTLAuU7IeP+3tWhkWBGHUkO2JhdWyxB88fWrCZYrd5AayY3YofMNc0UuWAhYyiZ3Xr6M38G236YnYZZdFbw8GdZjXc88ltfqKKYxurJxEYHiIKR37w5+5ar9uhJ/pobTHdsLP8DCsXq0nGBFlt7sPb5wQWhr4rW/VIU/l5dE7nHUW/Otf2tPgqqv08dNl3z446ihLO3T+hafrfSxEJrtrOKlzr54Un3WWs/CzbJnO1zR+vB6DlZbC/ffDFVfEJ8C2WdIdvL+apVOdj/S2cFqaPhNL1wsWjB1rmzcr8p6bSZkvPf+kkXteHRJwOjtdn66uuyM834rETPZc2dnG4w+FhJ+ZM0d2mDxZC8L9zvOvRCRtl1tbnZOzh4Sfq5+6ky/+507+etLb+c7ZH7O00+WBovB4YjBQyvqL38fsF/8Nr78ef9zbboOWFv331q3250+WTZu0oBYKH3uo7niGVBGzXnkuuZcCDz2kk/HX1oY3Od7b+nrdj4jwkzL+CfX63ve0cfjEJ1x/ZdmSWVx759rw29n1E2cwpWM/eyt1XKBhEF6qtzMi1CtQrKzV/507oapqxEhFYHaMrWHhp5NgaFl0M7lzpAttX0kpZYP91AQDtPfECyANNcH8dURdXeFBUtjddffx8BtYNMHGo8f0+HEr/IA2hBMnZqDAgiD4gVxMLFJx0Xc6fzBQ7CgKzTmwnT2V4+kIVlJbHuCikyZZ5my78jSHRQEEwYbYsQMk8FDo7taLYLz73XoyFksgEDXIdoMpjG4PrVo3vbWZ7XUjbSxh+927V+fxcPIINhNN2wk/69Zpj5aIMC+wvz9XXHEeXPmCzgkZK/qYLFyowyA++lH46U/hi190vo5E7NsHxx4LWNghMyn2Sy/F5eqxu4Yzh1r0KjZz5uhVc44csX6mTzyh34R/9KN68tzZqSe2114bv+/s2XDvvfplXcx4bXHvPoK7dvDozNOjtntldUKr+xSJWQ8T9QESxpUFKiocE6aH7/mD3fAnePNps0c+rKnRv9vbR/5OQH3vYXZWTojb3lcyhsOlFdR3tVG0OzT7C7VJQAs/oNuqU77WBLiyy21tOrH+73+vxSanlfRCws8pezbx4Ky38PUln7MUfYKBYr4TK1TuOxnu+y38+Mfwk5+MbB8agu9/X1//tm36J1Ns3qztUojv/Gc/DUcdx+Id67j1LR8AXIQk79kDTU3aIymChPdWEjynhbc9fgwDtmzROX3uvRc++1ktvLhk6cKGKJf89ZO06msKPw01QVa8Zz41wQCHyyoIDvZRX6pY8e751hV11y7b/D5mx9hWHhJ+ug9TNtDHsFJQVhb3lqGkopwaBrjhkrneczsNefxEYf7f3R2/P4x4/LhN7gwS7iUIo4yUvBdygN35zbfBTsv4zjmwnU310wgUK7518VxuWjqPD54+NfxGrlgpPnj6VMnvI6RE0h4KjY164h8Z5pUm5oR6a53OhXNs6+6ozxO23z17nL19QE8c6+vthR+L/D6Q4P4sWmQv+phcdZXOL3HddXq8mQ779tm/zJo5E844A7797bixj9011O/apoUac4Jl5anT2wvr1+tr+NKX4Jvf1Pk8fvhD6/HqrFnau8niWn/w/O389P7vUhaxLHfex6MRmPfJznsy3/3IqMYh1CsKs+5HJuY1X6Ynkedn6nA3bRXxL+EBDpZXM667gzndB7TQU1Ex8qFph9IM93K0OwcOwPvfr8/1uc9pEfbWW+ErX7E/YGUlh4OVPDH9FK69+CsMR6wQWqyUs+03c5b9/vfRSbLvu097+Xz3u1rkzZTHz+CgPtasEbuwp72Hp4+Zz8I9mxjb1x213Za//13/vuiiqM0J+7z58+HVVyVqJEW85/FjGPD1r+vQrjVrRirx5MkpvY2JTFD8l/kX0F5WyY7aySgIJyVcurAB6jbDk3/ihS+8yT5T+M6dtgqxqVC2lWnhp67nMJXD/QyXBSkKdVJRbxm+/jQ8v9Kbqwd0d8er7m6Fn2Q8fkT4EYRRRdLeCznCqVym3Y5MUGkyZnCAGa27ef7EN0e9MLhp6TwReoSMkZSHwm236XGKzapNqWAmxO0IVtIarOLY1pFJk6v2u3dvYuEHdL4Iu3w7jz2mBRDzjX0EaXlwKAW/+hXMnQtXX61TCrhYPCSOwUHnt/pmjqWFC+HLX9bJtyOIu4a2Np2Xw/T4AR3udcop0cddu1af+9RT3ZUzckn3uXNHtnd2MnHNf2BogItaX+O+iSd5Yzwag1kWL/Yjoxoz1MtpVT7IjPBjGATbW1lw0XHhOZ5iJPfeofIa6ns6OL60Jzq/D4zYjwys7GVrd265RXtdfvrTOrH8woWJQ2uV4qkHnmTZ6t1EOrQFA8XuQhG/9CVtU373O21fDEMLPjNn6pxmxx6bOeFn+3YtukQIP5Nrgjw1bQGfe/Zu3rTrFVYf96bwdlseflgn1j/xxLiPHG36/PlaTNu0CebJOCtZvCf8KKWX9Cwt1fHJixbpn7lzU8pGHjmg7whWcseCC1DAB06fytKFDeEVZk5/ajs/AB59ehPnXzrihhu5As1Lm7fRPm0O0y3OExZw/rGJ3pIxTDG6OWPKWEq2VljsjY61HxyEwUHvuZ12d8cPrkpL9bOxE37MUC83+ZdE+BGEUUkuhO5Im10dDKAUtHcPOJ7LTbmsxKG5Hc0Ehof48KcvBS/ZcGHU0djUzO/veor7Hn2M28+6kpp1ezPSrhqbmunuHwz/v62uIezxU1se4FsXz3W3qtfixYlPNn26dv2Ppa8PnnxSCzPZoKFBe8h87GPws5/BF76Q/DFaWvRkyymcY+5c+NrX4Kab4EMfgvPPt9/XXHlrzhw9eS0uts7z8+KL+rdb4cdMjB3rPfTII+G8Jz+o2scPll/v7nh5wJMvTEc7FRV6TtPf7/wC+OBBPU+IDFmMDPVyw+HDMDDA8Scey9Nf0Ss7Rfb73TV1LOhroXrvPjg52pskPLdx6/GzapUWGmLatePqpJs363b205+6O0eIC8+dT3/d+Kjjnj27nhWrNnPtnWud6/nJJ+t8Zj/+sXaSePJJ7Tzxy19q22GGe7llaEgLVp/5jP6JJHZFL/T46FsdR+gtGcNbdqxl9XFvchZj+/vh0Ue1Z1Sy+Q8jEzyL8JM03hN+QD/MVN64WODUQUQuXdlRqo3Q/z3QRNfU6XGflw70UdvVzm2txUxraradPCxd2AA/n8AHZlRod9oIN+NIQ/GVl5v5POiM65WVGbnWjBGR4yeMUnqbk8ePKQ4lQoQfQRi1ZFPojl2OODJ/WqKlie3KFSsklQWKwkLSNytCE+KTTsrC1QiCO8x6/9FnHqbYGOa2497KviSW4U503Eixc3ttA2/b8RK3XrHA3bENIzmPn8bG+CXPn31Wjz1iwrwyykc+AnffrUO+LrwQZsxI7vv79unfifIWfuMbcOed2htg/Xr7UDRT5JkzR0+UjzvOWvh54QV9zgaXz7mqSk9+Y5d0X7lS53469VS94plLHCfAWcRzL0xHO2Y4VVdXYuFn/PjouUKyHj9msuL6kRWao+pDx4Pwpz/p0LPIxM7md4qL3Qk/W7bABRfQfP47ee8510aJMfeuaQ7bxbixxeuvx5/XJZHXEWt/E41h+NKX4PLLdVv+1a+0Xfjwh/VnM2boZPaJPLJMXnhB26df/9qV8GOW5+V75rH4jbU0JLIFTz2lQ5IjlnF3zfHH6zq2bh188IPJf3+U403hJ0Oij0lsQzLV0yKlwkvsdoaWyhvT1ck1d65lxarNdPcPhhvcpE4tUuysGMfdNsmqzGP/qn8Me5/cQG/xGOb2GKwLZTWPbMD7B3XD+/tzW3nHeQssy52vDjUyx0+UxxMB2na2cKzVd3p73YV5wUhm+wITfvL2vARhlGO2vdhQrFgikw02NjVz4wMbaOvW4lBNMMA750/i8U0ttgO89p4BgoFiPnD6VB7f1ELTA09wYskY/nGknEtdllHsg5BpVqzazIQDu/jcf+7i39MW6sTLiRJrujxubCLd7XWTec8rj7H0uOh8i7b1u71dvxhyK/z093PpN+/h5eGKkeM8+qgeF551VsrXEotVecu+eCOLHz+bpvPew0ffdxNDhpF4AmNiCj9OHj+g8yD+6ld6iflvfxuWL7feb9MmLfiYyyXPmWPv8XPqqcm9NY9d2WtoSIddXHghvOlNegK5bVt0UlwLrCam1965lhffaM14qGuy9lPsbY4xPXi6upyXLTeFn0hCws+6V97gs8tXRz0zsHhx3xeaO0QIP1FMmDCSbygU6hVZH56rqKXnla002dQRc9+P3PdTPgEc9djDMOMyjOoJNLf38Odnd0blj4WI1Q2Hh3nH5te4rWIWty1fnVa9c1oF1fKYl16q7cXXvqZFq+98ZyTv6rHH6nty8CDU1yduH6tW6d9NTTrvmmmHQNuO8ePjnvPShQ3wscvh61/n66dP4DtOnkoPPaTtWypifkmJ9p6UBM8p4U3hx4bIwX1xSLQxf8d2zlbu/m3dA1FxoKboA9BZqtVqc2Wv2AnE5MNaYd5TVW85uYjsANuCldR2H6Y9WEln0ZiolcVMzOXRf/Poq5bCT9JKbybp7oaKirgydBWPYd3mPbxs5fHU1+cusTNogaiysqCEn7w+L0EYRcQOWGLFmUQ0t/dwwv/7O90D0cs3t/cMRK3G1dzeY7k6V8/AUHjgN+vADjaPn8p1KzfyQvPhKNEotj8S+yBki/2HOrnnge8zWFTM194xkguxub2HxTETqWTqm1ViTjPBM6+9Fs43Y9bvcQf3QGiMdP1963nxjVa2/+sF/gx86/lWFtp4S5s8MzSWNwMlO9/AOPoEmtt7+NqfX+CMX/6CnccuoHnbEeCI44TFzYTfqj0uu2cdGHDNggv51HP3Mqavh54xZbZtNfY8P+nbxMmQWPgBLWB97GN6xZ33vQ8WLIjfZ+NG/WY7tFwyJ5yg0yAMDIykPejs1PtdcUXic0Yyaxb89a8jb/+ffVaPxy6+WId3gJ74xb7pj8FqYmoAf352J4uOqcuYbUvWfoq9zQOmx0+iBM8tLbbCz+PPv07zabr+Nbf3sOzudaBgYMgIb7v+vvUcNW4fp4N9PtYJEat9HXdcXH3YW15Lxyuvs+zudQwMjxx72T3ruP6+l+kZGKZ0oI/3rH+U546eyynNG/nwSw9y89kfA4ibz5k0t/fwkz+sZungANtrJydV76zsVtKroBYX6zDVr3xFC3Gf/vTIZ6YH49atNO7uT9w+Vq3SyeF37eLHn/8et5x4UXi+3fjos0w5ejqxi9M3NjXz5GvwA+CPv36I5ikn2h//4Ye1HYxMvJ0Ebxw9k8rVqzjluodE2E0Sb6/qFYHZcE3RxRRtzN9mxWpsao7a10AP6M23unYN9nDI46eqz3o5wskhj589lfWWKwpEdoBtwSpqejsJDvTRU1Jqec7eEp0Lp/3QYRpDHkF2xzMJK8oZorGpmcXLVzP9uodYvHy1LodhhEO9YsvQEygl0NdrXQaLpUEdGT++oISfXDwvQRjNNDY1s/Dbj3DNnWvDtt18++ZW9DGJFX2SxQAwDOa0bGdj/fSwGBRZLrM/ArEPQgbYv18n/I2hsamZa56+gwV7X+P6C77A3qqRt+AKbOukHZHjgiKLsY65pHt4eXJ0/Z6++3X+9ctP8O71jwERAmkoiermooqE5//pNh06eXTH/vC2Szc8zsQjrfzo5Hex7O51LLtnne01xY797K7Zqj0ODBkMDBu81DCbEmOYuQdGEqHGtlWr8/zzCf32+YSfNo2Mp5xYsUJ7P3/uc9afb9wYtVwyc+boHCqRq3G99JIesy1a5HyuWGbN0p5YBw7o/1eu1ALTBRfoEJXp00fe+GMzVsR+AmpARm1bsvZT7G0eiPT4ccLK42fMGHoDpQS7o0WjgWEjLPqY9AwMsfqpDfofJ4+fEA8eCfKVu9ZF1YcDY+uo72wNiz7h8w0Z9ITGBhdvepKa3iP88MwP8PdZi7ly3SrK+509iouVYtKBXcCInXRT7xqbmll2d7RdW3b3OsoC1lP06qBDvturr9aeOJ//vA7dNDG997ZtS9w+2tvhuefYdMFlbJowndPX/QsYmW83HNjFE0ZtlI1rbGpm2T3reCaoPTuPb9lhe/xHHngGNm3ixqFp7mxlDI1Nzfy5t4a6I+2MP9Lmum8TNL4RfqwqaixmxXKzbyyHy7TRquyzzmFjevzsqxwf5SlkEtkBtpZXUdd9mOBAH70BazHE3F422GdZYZNWepPEboB0/ws7tNtveXncuXoCpQQH+6zL0Nvr3uMHCk74yfbzEoTRjGmvTAE/EjsxP9vUd7UzvruDTROmWZYjcqAj9kFImy9+UU/Y//hHPdkP8cj/3c1n/3MXd807j4dnvyXqK0510iRyUr/gxkeihBWrsc6B+qMxlIoSfva093D1C3+j2Bjm4o1PRp1/QpcWqw5U1CWcBL2k9Jv/ozu0IFE0PMSnnr+X9RNn8NS0BbYTQfOYbif8Tu1u3SSd/HjBHvvvWJ1nXGcbR8YE6Y7wEoqdGEWJJ2/0wFe/Cs88E7/aTm+vXjln9uyw4P3Oxw4B8OUb7hg5rpnYOVnhZ/Zs/dsM93rgAb0KXHW19gC64AL45z+hv99RTHNasSeTti1Z+yn2Ng9E5vhxwkr4AQ6PKafS5sV7LEWHEoR6hfJs9Y6rZ9mq7XF2bP/YOiYcaXU8xwebHub1cVN4dso8fnvqUqr6unhPSNS2IhgoZsgwmNamcwdtrx1ZICdRvbth5YZ4EWp4RISKxTGqs7pah2nedFP09umhZYm2bk3cPv75Txge5kdF0/n7zDNYtHsj40N2vKr3CPXd7WyubYiyqzc+sIGBIYO9leM5XFrBrJY3LI/f2NTMsz//CwCrZyxKSbRZsWozL487BoA5B3TCahF23eMb4cetwW5u70mY58GKI2N0B2ZneCYdbqGloob+kgA1Fmpr+Zji8N9twSqqe48wtr+bHjvhJ+TxExzss6ywdh2q49J4SWA3QPr5Q9odj4qKuHP1lJQSHOizLsMo9/jJ9vMShNFMKmJ+tjEHHBsnWK3zqDH7LbEPQtpcf73OV3HVVdpFfsMGaGvjG3d8h501R3HjuZ90dZjIsZSVd3SssAL6TbYCGmqC3HDFItQxx0TliJlX1M3FG5/kyJggZ+x8meqezvBn5gTrwNi6uPPHMq6+hpaKmrDHz9tff5YZrc384vT3OM52zAmF3dgv9pxO7e5gRS27qyawYO/rtt+xuob6rjZaKmrC/0eO6+zEk0dmh1Y6u/fe6IO9/joMD/NCcCLL7llHW/dAOMRu0t4dLLt7nZ4ovfACTJ0aHdrigkcGtcB2/Xfu5r3/dbv2LrrkkpEdLrhAh+w884yjmLZsySzsnkombVuy9jMT9tbOy0mwwSHUy7yXx311JcNtbWwaiF/9t6d8LFU2L95jmTrUrV802yVGD7WHzWMnWo4bDoytY1zPYcYMxr9IApi393UW7H2N2xdeCEqxdvIs1kyezUdfXEnRcPzxFHD5KQ001AQ5trWZ7kAp+8eOBEI51bvGpuaoRSjc0G7xAiyK6mod9hVJMKgTwG/dmrh9rFoFVVU8VjmNf8x6M0UYnP/6cwAc26rbwba6o6PsbfilnFJsqj/GUvipDgZYsWozc3e9yv6xdbxR694rKpI97T28OkF7MM1p2R61XUiMb4SfbA+Qh4uKOTImaBvq1XC4heaQC7XV+KO7f8QYtAWrKMJgYuchekqsxRBTECob0MtnxlbYZUtmEQwUx32vq28wIx2QXQNpP9iu/ygv5+zZ0Wp6b0ALP7Hb9YdJJHeGghN+rJ6X41KGgiC4xosd+uyQK/PG+ukJJz9iH4S0WbBAr4Ty61/DK6/o/888kwldrXzp4v+iq9RmEhRD5FjKraA6bBhsX34RT193js6jcPzx0aFeB56iZHiI65d8nsDwEOdufT7cJiYcaaU7UBp+ueY0llu2ZBZ7aiZqjx/D4DPP3sP22kn84/gzHMtXHQyEc0jYXXPkRL6rb5BAsb2QtHbyrCiPn9i2anUN47vbaamojdpm2i078eTG9d3aWydW+Aklcf7Z3kBYiOsZU8buqnqOO7SLgWGDG1ZuYPejT/L3sqNthQkr8aKxqZlr/z975x4fRXX3//fZzSbZhJA7EJargIDIJYKC4g2tUq9NxWu19+vz9KLWh+fB1qdCH1tpqdX669VerK3WoqIpiopWsFoUFEyQ+/263CEhJNkkm838/pidzezuzOzsZjfZTc779eIFzM7OnJmd+Z5zvuf7/XzfP0Wr08XIU14m1rwDwBtn6crBz5ql6gi9/rpldEBVpYc7ZwyLsn/Jtm3x2s+u2lu7KYMSHSapXvp72b+lEYei8ML+lqh7WTCwlKK22BE/bpeTi4sUNdrHzBkcdPxsLzDW2zoadEKXN0WnzoIa7dPkyuWlc68Ibfvj+VWMqD/Mlbs+jNpfAVZuPc7c2WMZdfowe4sHh9pm9dxp9yZezGxoTGdlsKS75fuhKKrj58orGVBawLay4ewtquCT299TD3HqIAC7SzyGsicA28uGM/bEvrDIVICmtna89T4mHdnJx4NGh30WzxhvcJGbhtx+eAvKGX9sT9j2VNMbHMIZ4/gxc4Qkk4ac/FDEjyfiAao4c4LDBarDI9LbWl3jDQuprnOr1S76W0b8aKlequMn8oGtqvTw8E0TKc4Ljy6q9/nj7oCMHlSzF2SEtjkvj5Vbj4d95nPlkNveGrUdiE/cGXqd40f7vTxF7tDK6MM3TZRiYxJJEki3yBiHgMkn93GooIx+FQO4c8awqP7J5RA0t7Uzct4yFi3fFloRlPZBkjAOB3zlK2q0zec+B5s28dild7F+sPHEItaE3O5gW//+Vdd4ef5MPo0bNjPz4bdY+v5OxlY/w5FZV/PRhbM5VFDGp3evCb0TA5rq1ImWEDEn31WVHkonjGXY6aNcuP9jJh/ZwRMXzKHD0fluRTps3C4nQmDpwBpR6o6KbEKB4jxX6H3Uj7VqK8YwpOEYZU11OIWIeleNxqPljXWcyCsyvG+WqRVz5sAHH8CBA6Gx2qOP/4MOIVjtCpdP3VU6lNEnVQ0R5dQphpw6xPqKs01Ty4ycFwte3kRTQJ24jTp1kCt3fsC2smH8z0dnOseJv/qQ45Onweuvx4wOeKhqIo/eNiWlti3W+CpyjAt0aTwmNYISwCTVS38vi5sbADiaXRClmbWjNYt8n7XjR/sdh3U0m6d5gaptM3Ys28dWGn58okB9r4zSvfq3NPKpLf+iesLloaI/AMvPvpCD/Qfw5Q+rDY+pOUKnth7nYPmQ0PacLPNpdizHu0AdR0RuM1p8t+WsHDUKdu2yfp+2bYP9+2H2bNXOZWfx+tkXctG+9fRvaeSsU178Dif7iwaFpdDpM2G2lo+gf2tTqBq2hj+gUOBvYdTJg2wcGO74iWeMp9nfLQNGMOHobop8DVT4m/je9AFw8mT0nwMH4N134a9/VSspfvWraoptnPQWh3DGVPXSDHZkVa+u4kD11iqoJd0LWptDg5NQeWBFoeLMCd4ZeR4QPQiK9NiecneWOW0xifjRUr1y21stB0MNvvaobT5/IFRy3k5JSyP19jlTPVGVcNwuJ1+vDJZcNdL4ycohz99iPIhJJNWrsTF+baA0pqrSIydykj5PssvoVtd4aWqNtoM9SYcCow7vYmv5CACmDS9h2vCSsEqSTW3tofBnb72PJeu80tkjSQ5lZfDHP3Lt4OvZbJA2oaGgOjfqmv04hQibvFZVehhc5I6ZGq8fn2jjiVvyB3BLm4827yFWL6jmxpMnGTz/e6y69FI48hkG/+53XPKJkUwbXsKQZ05zPL/Edln0IeedQ8eK1/jO6uc4ll/Mi8FVdwHcOWNY2Hum2Zd7F9daHnP17rqo8aK/QyEvO4uaH1wddm0+fyCk83P+8V3M/tKsqDZr/1/w8qbQO17eVMeqEZMN71uh22WYzjG4yK06fu6/n48f/xP3507H5w8w6tRBvP0H0OoKHxvtLB3KHQc3IZQOJh1RU9G0lfPIMs9mzgtt2+4SD+cf3Eyxr4EnLriJumZ/mL36S/9x3LfiSR74aRHffbct7Fh6p7b2G6yad0XYuZLZD1gdy2yM+/BNE6PaZLdtUiMoAUxSvfT3rMR3GoBTeYWh7Q9Ub+CZ1fv5f45cxrUeMTy09u4/VDVR3WBUGSzsCwK2bmVCjReXrnIXqM/uXZ+eAc8bO35u2fBPctvbeLry2rDtAYeTP0+9ngdW/okJR3exaeCosM8dQjBm7j/Y4t3PzqHTQ9u1xXqIruwV63ky0llTgCXrvFFV8+Yv3RS79PtZZ8GhQ+DzGc5Xqmu87PnBL7kXuHlXP+66QHWg/nXfTL7xwYvM2vUhZ508yP6iQbQ7s8ICJObfOCFUJW1buaq/M/b43rBiAwDjjuzEgcLHFWNC2+KNENTafeC9sXxi14fUPv4Z9YOf2zxAdjasWKGmS8cx/7RyCGfSuC5jIn70htpT5OaRWyebhtfHQwedAohncvLp39oYlr/sdjnp39pEvzYfhwrKoh5QowehLq/T8RNT48ffypypxi/g/S9usHRu2fE2mj2oK7ceN/T4XjEsGK6Znx+lKO8LpnoZKs3H68DRvPW/+Y1aqUIikWQ8yV4R0Y4Xbw58qslu9zPq1EG2DBgZVqp01bwr2LPwOvJzsgxFaO97bn3GrQ5J0pctFk4fjcbWdlwOYVgB1ShyxeUQYZEwemflgpfVycWeEvX/o04d5Itr/8GGgaOo7hesGjNnjroQ9OqrVFV6OM/l44KLJnSmicVixAgc7X4u3LueFy6ZQ1tWNp4iN4/eNoWHqtS2aO+ZdsxYq8Vm4yj9xEu/Cr5p4GjaHQ7uKagzbXNVpYe8bHXtNLvdT2FrUyjVSx8lVF3jpakteozjcgh1LDlmDEycSMcLS0JjtdEnD7CzdEiUOPfO0qHk+VvxNBxn4hG1utdGXcqE/npiTSp3lwxhQFMdro4Ab42+IOrzfw5XoyWuObwhbKxY5HaBUDU9zGx8Iv2AWVralAXRlRy7UjHRTtukJlsCmKR66e9ZiU+N+Klz9w+lXz6zen/nwnubscaP5ux4oHoDMxeuYP+2fSw/FrDXl0ZMFP0dCvevVrMWBjaeDN9V6eDOmldZ6xnPlqCGjJ7Fk2fTmO3mSwZRPwFFYcjpo2R1dLCraHDYZ2bPo53nqcPAdBlVGTQbI2l2oLrGy/xNLQDc+b1no+6d9l5M3ryG3cWDWesoCo1rPnv3LRwtKOWT29/nrFNedpd4oubCVZUeFt0yGU+Rm+3BBbFxBjo/F5/eD8CJs8/tUoRgVaWHLy5+FH71K3j8ces/v/udmr62bRv4fPDaa6oA9qJFcZ2ztziEMyLix8yjXxRcyUoWDTn5lDXXh84BqrfzxT+/CkBLhSfqATX6wevcBaF/mzp+gttz2tsMvbd2c+9jRf/Eys+Oetn+qeaWk5dHa3tD+LlcueT6W2ltN1Cajzfi5+ab4Zln4LvfhSeegJ/9DK69NoZcvSTZJDs6Q9K3SfaKSDqKOoM6MXN1BEIRP5HXaGZ3A4piuvonkcSLnYgdI7Fm7XnVIiLs9AHVNd7QeGt3UGj48+teYczJA9xz/X18+MZ2EIJH/t3KS3lF1P7oNzSOmUnVoUNwzTX2L2rECAAac/L57birbPVLc2ePDRsjRmIWIR4ZvR26DwOKaRo9jrH7t1g29VC9D3dbCw++9QQA+4tUTZEORQmLvDH6DfrlZnVe05w5TJq/gPLGOk7m9eesU15WDe+MHtKitnaWqvd9SuNhJh/ezq4ST6gibeT1mD0bRW4Xre0d7A46707kFVIbjHDSs6V8JMfyixnw+utUff7zobbOXLgiapJpN9rIrB8wGuPPfWE9KERVO4o8VryTMTttmzt7bCh6QSPkqJMYk5urjt8jIn7091JL9TqTXxjKqtDucENuP/q3mKd6+fyBkJOo2NfAwax+/MygL9W/xw6T9/5obiHtwhGqOKgxc+96zqo7xF+v+jwCor5/Jief5yd+gjtrXuN/r/5PmrPDHTehil4l4Y4fMH4ejZ4zu0RWGTRDc7Dd/+IGxrlUbaOcA/uY+8J65i/dxGmfn8FFbprb2gn4WphxYAPPTbwKCO8ndn/yemZV/x3REeCj8dOj5sJh9nNQOadLB3DOyf1hbXG7nNzUcRg8Hl7+0c1xX3MUZWXwn/8Z//euuAJuvRV+/GP47GdDfU4szGxqpjmEMyLix8xQJ9PpA+pLra/qpQ3Q/3KVmv70o+9cG9VpGf3g+lQvny5UV+/S6NT4Ma7qFa8H0WxFxeyBVMBYmKo56HHPy4vyNGvl3A1tVLzizsXFsHIlVFer5eOvvx6uukotYZogvUF0qzvpLfmqkvQh2SsiiVRo7A7GBStJbNatCuqv0WogILUiJMli7uyxliLFVmjPq1EEjRH6Z/ZQ/zJanS6u2f4eR/uVsGzcxaH+40BDG2+MmcGMrWv4ydP/VieCFRW22/VGq+rI+OuUa2jIyQ8dV1vtN+rftWgdo4qrbpeTO6YPtRT7NeoLl+cPo+39NdBhXFK5usbL5CM7eeWpu7n14zf59YybWTbuEiB2BTAI14p865yLcaBw9Y738TQcJ7e9jZ2lQwF1RbzmB1ezd+F1PP+LLwPw9QFtTDqykw26aJ/IFXgzAdf5N07g4Zsm0jBcTVVZPf5C+ucbRGsLwYfjLoA33lDHaDGux060UWRFOe33vO+59VFjfH9AsZwQJ1ox0XYfFflayTVJa4RQo36MyrkH710o4idPXRzX3/MzOXm421vJCphnACioGjwFbT6O9SvG5w8wf+mm0HNU+cM3mPv8+tB7bBbppwgHx/OLGXgmPNXr62uW0FJazoN/eZA9C6/jkVsnR71DK0adT3ZHO1O9W6I+0ype6Uu5a5iOCRJ8rvTHsxonaQ42nz/AvmLVDg+vP4w/oFDv64zaq2v2M+3gJvL8rSFZE+3YMxeu4H8dY8j1t5ITaOczn7sqyukTaT/XFw3j/EZvVFbJ0D1bVEH7nuZnP1M18777Xdtf6S1FOjLC8ZPqMCrtvTuTkxfmcQ4N0A+oYnoMGxb1XaMHocWVG6rmpUX8aKHKoX1CGj+quHPki5uIB9FoQmEliu2t93Hv4lpG6AdSmuMnPz9Ksd2XlYOrI0COrpyh1nl7j57mH1tPUvnDN+w7XoSAT31KrVDyi1+oYlsLFsR93Vo7pBMjPqSAYfLJaOfjzp1dPkSsQXjk/bGazAGmVSN6mvHH9tCSlc1e3cqe/tpjFSPItNBgSXpSVekhPzuxwO14xxj6Z1YRjtDk5i+V1+F3ukIaQgCvn30h/dp8XFvzpvqFGI4fvV342nv1fP6WBTw2847Q59pqv1X/XlXpofbBq3nMQGj4oaqJlmK/Rn3h2oFnk33mtKFdrF67n133/S/P//U+3P5WPnPHj/jpZV8g4HDaqgAGqu5P6JrXtbCrxMM121YxKijevKt0CALCJxVlZVBWxsTtH1Fx5gT7Rk4wFTvWrkmzoZ4iN3Omeli0fBv3Lq5l96CRHJtxKdf/egHzb5xgOKEZcPONcOoUrF0b2l6UF+1ci9xupx/Qj9cS0evUFi9njSuParugc8JqdzHUIUSoH1rw8qaoKC1/QJFjo1jk57N337GwPn3+0s57WexroMmVS6Mjm0XLt4X9FpqQcoFJZWUNTdx8R6k6H6v3+UPPUV2z33b0zNGCkrBUr/O8W7hkXy259/9PaBE7UgS5yO1i1+hJtAsHVx7fFlWAZ0TdIepz+4UK/GiYOQfMogH1uBzCUNBefzyzcZJDEBYVd8rdn8ZsN8PqjbWULt3zEW2OLFYPmxjapr1La4aeS12u6rB7xxEuOm9kPzeXDqP0wG5W3XdJ56LCqAI13Wrq1LB9e2TcPHQoPPAAvPSSmgZmg95SxCcjUr3shDN3hc5Qw3wKWpvVEnTBF8lb7+Ovr7/LbY4srnhyE/91TUfYj6z9+97nasMq151y98dz5njIATSi1E1VpYfvPldLhwLtzizahQO3vxVQX1B9qJyhjo4NIu9TpCi22bVrA6lhDi/nAeTlccf0oTy9ujNUT0tPu2uyKqqmD8/NDvhpxBkmDhiZ0mCaVpSdDd/5Djz9NBwxNkix6C2iW91Jb8lXTRfMUlIhA9J6PvgApk+HdevgvPNi72+CUcqFNkjRRBz1NkdvX4zuVzIE/FPBuGN72V42jECw2pBRvjvAfc+tj5liIpF0hdMx9K+cDoGD8JSZRFYpI8dhO0uHMqL+MH+b8kncLmfYO//+8EmczsnnszVqmryV4yfSbgL866ypUftFvkVm/btZkQWr4gtGfd76wWr60w8feJInz7o4bMzS9O27uW91NcvGzuR7s7/F6WB6v1kFMKM0tHqfP5QyFQBeP/sivr5mSUhYemfpUBQM+o7x4+H11wG4+/7PcPfMmaGx1b2La0PC8tqEMqAouF1ORpS6w+zvnqYOLvvE/Tzs8oSNE/Xjs/OHXwD/ezc895zaPxBVoTmEfrtVP1Bd4zW1i/GiiebPmeph5dbjeOt9CKLHtdB5H81+D70GltX5JOY0ZuWwcfshvGer9ynyfpX4GkJOkcjPzuTkAdC/tYm6vELTc4w+EXT8lEUvxMfD8fwShpw+Gvr/t9/7Ow39iuj/jW+E7WcsiTGNL/j3UQ2c1kXujTzlDZVyd7sctPg7LFNV7Yy183OyuH5yBSu3HjdNxzV7lzSTH7LdQrC/aJC542dvDeuGjA+lsOnfpXZnFm+NvoCbN77FT3YrXBrjOraXDyc74Fcd5+PHqxtralRDoYv4MRs3r913yvKak8J3vwtPPgnf/jZs2GAra6U3FPHJiIifVJdy9xS58RS5OZOTT3ZHOznBKByNfscPc6SglIMNrYZRJFWVHh69dUrYtvrgQECL+Fm9W80l1Tuj1fLobaHt+hUQn984vNiw/aePMe/tJ8kKtBt6frVQ7lhr5z5/gH/V7FX/k5fHQ1UTmTmqJKy9AP97xUgg3NmS095GqzM76njaComtiJzSUrX0XgKkgxPjgeoNjLr/VUbMW8ao+1/lgeoNsb/Ug0gBw+SS0RFUu3apf+/fb71fDMxWRICwSYcZkfcrPzt1dj9hFIXxx/ewpVy1g8V5LsNVn6pKj2GoeCaGBkvSl1j22gHcdsHQLq9SzhpXHjaG+Nmln+XztyyAsrLQO6/hd7r45+gLGFF/GIC36hMvaWxFsvp3o3u4o3QoTa5chu3aGDZm+cmf3uLmD1/huYmf4Jufmhdy+kC4to+G3iaCeWbHa2NnkqV0cFfNq5zIK6Te3T/snoYYP14tiOFwwJQpUWOrep/fUFh+1a5Ths6z+55bz8h5y0I6kWEpfyUlalT2X/4CbepY1czRqN9u1g+s3XeKexfX2nL6uJwiqpS1EVqxklXzrqA4z2XqIDRrWzxRpekagZouHA5kkdNq/k4WNzdwKq+/4WcNOWqKZ0GrscCzxpiT+/Fl5eCNqBYVL0f7lTAwWNVr0uHtzNq9jt+f/2mqt9fHjkC59FL44AN+8crH6GdqI+oOhbSzSvJzLNNnq2u8tiRN631+lqzzRr+bOgzthG67fg69r6iC4XWHo/Ytb6zjnGN7qB0/PfTORr5Lv5h5Bw9c/Z9sbg93kBjZz21B/UM26OZB69apf+sifszGzbEiPJNCTo4q/rxjB/zkJ3DsmPWfZutnM1PICMePVf52V3G7nMwaV05zW3so1LB/RKjh4IbjoZJ0ZhO5tfvCc0U1nR9Ny8eoo2vJyiG3vTX0/0QHP19fs4RvrFnCBQc2Wnaodib0rQ1BYba8PKprvHy0/3Rn+4LX8saHu4HwQVdOwE9bVvTvo+1ja1LcBcdPTzsxHqjewNOr94fuf0BReHr1/rR2/vSWfNV0IR2cjwlzNLjyVV/f5UMZaYboRRxjoYXoj5i3jKa29BN2Lm+qp6z5NFsHjAAgLzvLdBLdW0KDJelLrIUxf4cSmhjH0vExo7rGy5J13rB3eF+JhzG3XseDN0wIRRTr5zHLz74o9O8HVp80HbR3xT4mq383uoeKw8mGQaOZcnh7aJvPH6Dkt7/E2dHB/7vo9qhiFGbt0Wyi0WRKY+PAURwoHEhhaxO7Soea98Xa6vmECZCf32UB/ICiWE6u3rv8U3DiBP9x23xmLlxhmuoVee2R/QDYc/6DmlKz6ObJoSpBmu0041C9L0x83Ohzs7Z1xBF5lK4RqOnCaUc2bn+L6ef6iJ9ItIifWKleY04cYFfpEDocXVsUOtqvhBJfA9ntfr793mLqc/vxp8nXMH/pppiL1O8PORfa2hi4pTa0LcffypCG42rED9Z2TXPW2tV0jrWAGGssrx+HHCgaxNCGo2SL8JNfub8GgP94+D9D72zkO3egaBBPV14b9a4bnX9n6VA6HI5wx8/atWqK1YABoU1m9ymWAzdpfPKTqnP7wQdh4EDrPwMGwJ//bB72mCFkRKqXhmE1qQQRqB3VrHHlLFnnxecP0KALNTzeLxjpoigMqz/C+8Mnhb5r9KA+szp8pVwr6a5FyWgrBfrQudas7FDEjxn9Wxr5xM41vDjhCsOKV9ntfm7c8i9Azc/cN+XCqH20MODIMFgjBjiDAwi3m0XLV4cNKLRr+euKLVx948zO8EFFISfgp9UZPSDQDIStSXFJiZpPngBWocXdwbNrDphuf6hqouFnPY1ZeLeclCZGRiv+a46fujrr/RIknsmdllOerow/pjq+twxQI35iXVtvCA2WpC+x0rmh685nI+eCAiz7+HBo/KRt0/jXyPNoduXg7AhwOCvPNO3abip/5Nglmf27UV/orfdRW3E2X1y3lOx2dWGruPk0d9a+xtJzLuNAsIKXnljtsfwdhGD52Iv4ygcvcbhiuLmDWHP8nH9+7GPGSWT6XHWNl+8fLuHNgjJuW/8Gr42dGdIc0UcV2fkt4nH+5+d0OtP192DmwhWmfWysykba9USOd+KRkrByPkmgw51HflNj1PbiPBd52VkU+xoMhY8B04X3SEaf3M+HQyZ0ua3HgnO8y3ev5aqda3jk4jtpyskDg4g2/XtRXePlh/vdrEVwwYFNrB6mzg2HB6MbteuzGvcl4qy1es/tjOVD45Ci7fDBizx+2UD+r/ZMaP/7Dq9Wq1tN7qwmaLe6XVWlh7X7ToU5dluzstlbPJjcVR8S+sXXrYsSdo7n/UvZIupf/qKms7ZZz8d5/nn44hfhrbfg17+GggLr/dOUjHH8JLOsb3Gei5ofXA2oHYl23IaQuFhnONfIukNUNJ7kI8/40DajFzqyQ9MifjRnyR3Th0bt15KVTa6/FSvmvf0kn1m/nDp3f1aOOj/q8yt2fUBRSyP1uf24bF8tgyJeyMj8SYXOAZTRQOoSTx7k5YEQUS+jFr105pSqzK85WwI+1cPfmhWe6qUfDNiaFJeWwunTahhzVnyPZk87McxWgtJ9hUhOSpNHTzsfu0QSI36MSHRyl46MO74XIJTqlRGOPUmvRrPjVhPjrmA24LaqrNrqyuGNMTM45+geEML0GLFKsYMamv6ZGcMS1nww1RfUEdkXVv7wDWoHjyXng3bGH9vN+sFj+cK6l8nzt/LrGbdEnaPI7bJsT3WN19LAuZyCMf/xBfjgJfYOGM4vFteG0q/Cjjtpkjo+uqSzglgyHeX6Yy1avo2mADw/8RN8+73FVASj34vcLvJzsuL6LSJ//+F1hyhvqmOtwSQ+nmdF62PvXVxrem5NW8hIS2TOVE+Y8xLUyS2CuJ1bfZ0hQ8tp3Bgete92OXnwhgnq8/FwM2uKSgy/25gbXHi3KOme1+ZjSMNx/tZFfR9QI34AHljxBxpy8nlq6g2W++uzF0658tkyYCTTD2wAVBH6kae0Uu4eXM5o54jRseIhlg03Gssb2r2z1Eqkn3Q388lgJB5bt8L977Hp2/P42k/fDu0/otQdLZZtkp62cuvxKNO2pWw4k9cHI35On4bt2+Fznwvbx+idNjOTKRtr9e8PX/lK7P2+/nX40Y/UIkRr1sDixVBZmZo2pZC0dfxU13hZ8PKmhEq2uxyCgKKYhtEpinr8qkpPWCdnpCp/+W61msHbwfJ2do1/SOMnKwenQzBtuGpkPLpOWq/xY8To+kPcukGtivH1D140dPzM2fgWR/qV8MIFN/CtFU8xviI83M5spc4p1Huk/e0JGoUxv1+qOn50+2hoTqz8YHqaZmR+9Y+P1P1zcyjOc1Hf7I8aDNiaFJcGleJPnQoLBbRLLCfGA9UbeHbNgdB13zF9aNKicSLvlX67pG/Q087HrnBkxz4GAU8uq+EP7hVJb7dZ537RqBL2nvSFrbInm2Q7k8Yf28OhgjJOuwtwOQTNbe2MnLcsFEGackHCXoydCbrEnFQ5nxN9N783+1vkBVM/rNKgoNNuul0OfP6O0Dvrdjl4+KZJVFV6Qn24t97Hfc+tZ+2+UzH78ETEQ6trvDS2tIeElqcc3s6u0qF8Yd3LvHb2ReyMmHhqZdKt2jD3hfWWGQJZDkHdpPP47qfn8ebwyrA0E/19oqJCnUANHw4Y/+Yuh6Bfbhb1zX4cJmOTWPdMXw3o+UlX8e33FnPLhn/y+Mw7qPf5mX/jhLjeTf0zVOndyp+ff5Dc9lZm/OdTUWK+sZ6V+Us3hYSxtUIohW5XaJsezSGnX+TV0PSBHr5pYpTdgczsy3uSwZ4ymrYF8BS5o+7lpT96g3caGjjqyo/6ntvlRCksAqw1fkadPAioFe8ieey2KZZRj3oEcKyfOt8Ydvoov7jodhpy+1lfW0T2wgdDJ3D7+jdwBfz4nS5G1qmOn/rBw1h082TLZyVeexqvDa+u8Ya9I9BZxXn3cMF3AXbvhssuUz/83e/oyHLxtazJoXZ5632GbdSq20Ven5Eza1v5CK7Z9h40NanCzhAV8WM0btZn4ljdg24fLzid8IMfqPftM5+BGTPUyMvumufdfjt885tdPkxaOn60TjJWmTsjivNcPHjDBL7/0gZTfYh6nz/Umeon7CFV+Ra942cdu0qGcLBoEEVul+3OTh/xE+jofFH0nXSkxo/Wng5FYXCRm0feewm/M5s/TruWr3/wIhfW7eX94hGhfUub6rl89zqevvAmvvWzu+G8p+CNN8I8qmbGRa9FA9Dc1q5+0NwccvxEDhY0x0+2LkqpqtJDlccFC+C+Gydz3zevNjyfrUlxSXAlIEHHjxWaBo+GpsEDJMX5E1kBTb9d0nfIxAiq6hovo3YdYBBqamkqqpHFev+1DtwuLgfY1b9/9LYp3GOxGhwv557Yy9byERQFq+foKxnGqlImMSejq+KlCalyPps5lHKyHIaTbY3mbDfN2e6YExc7djPRPtxMXzDyXZ37/PpQWxYt34a/Q+FwQRnH8ouZfHg7bn8rha1N/OrCW8OO5bFxj+2Ubfb5O5j/8mbqz744qq1RE62RI0P/tGNbY0VURaK9d9oE9WDhQFYNn8ytH7/J/7voNhThCH83dZVwzdCeocod6/j9iw9xOrcfha1N3LRpJX88vyq0n1EqSSR62Ye6Zj9zX1hPwGCl1+UQIYecldyAVSU4SRz060e+vyWk6QSdz5/7tCrjcNyVF/YVAcyZ6uFv7+0BrDV+xpxU31mtlLvGXTOGhdKNjMbh+dlOmtsCYe/G+d9+GoDGbDd/mvYpy8vS0s9nLlwRcjCuHjqRL657mYmHd/LRkPGMPOXlZL9i/v3jT1seC+xFOerPPWeq/XGl1fuuAL/Z7ecepxOHVtCjuRn+/GfeOudivNn2UpfMokojt28rH44DBTZvVvV9IKqUOxjb/2nDSyz7sR4dL1x2GdTWwrx5sHdvas+lx5mcYidp6fix00ma0eBTHRixREF9/gALXt4U5tzoVJVXDU+uv4UZ+zdQPeNG7gqGGd9rEn4rRLje0+tnX0RpcwPeQtWBoYnP6QchLVnZodUwDa09nn3bmPzua/xqxi38ZsYt3FH7Ore/+zzv3zg3tO+nNv8LV0eAZ8dezhcnT4bycli+PMzxYxaJEklds+oMO//QSTz5qkfeE/Eia+LOnuyI47UGHUExSuHFHNxpET8JCjxbkTINnkcfhRUreAi4aX8dp5o6I7hK8rM5b1Mx/DHBY5eWwu9+Z6vEoESSKIuWb+O5xnqgM7/erFRyVzB7/xOZmMRR9JD7X/zY/s4xcAfaGXPqIGO+fAf5OVmWk15IzX3srVgVAJD3zz6pcD5rkyp9xOycqR6mDS+J+e4alThPhET7cLtpFf4Ohe+9+HF41IAQ1A4ey/kHN3PJnhr+NfI8Ng4aHfqOp8gdNsntahvM7ElXdMQiHUN2Rtbae6efoC6efDW/XPpTZu5dz79HVna+m8c2wuc/r+pkXN258Ge0Gv9kySHOe2EBu4sH8/nbH+K3Sx7i9vXL+eO0T4UcR/1yzcXyteuIfN7M5gv6sW9Ga/BlCvn5anSHDu33Gtiiav9ERtYoqGlCwplFY7bbUuNnzIkDtDmy2FdcEbZdy6h4ZX10tSpQ54ORDtqcikEcyy/m6cprwyrzRaKPGPbW+3A5BQ4BHw5VHYrTD27koyHjOav+EMqYsw2PYfQuaFFmsSJ/tPtjl1iyKH5nFof7D8CzW9UqZPFiqK/nD9fOtn0Oo0wGI2fWvgo1rYwNG1R9n+HDoazM1jli9WM9Pl4oL4c/Jjq561nSsqpXVwScAooS8vrFoq7ZH5au2Kkqr4Yazti/gZyAnyGfuYkl67yWKu+RvpVjBaU8esmdKEK9xUV5rpBSvEaLKxt3u7HGz1f/+WdO5+Tzu+lzaMzJ4++TZ3Pd1ncZ3HAstM+cjW/x8aDRbC8fzsyfvs2BaRerET8dnbOieEJ8ff4A+/YfD0X8RCq1axE/Dl9zeJnDlqDzKg4HhWG5RC3iJwWOn5Rp8CxcCGvWUL9zHznHjjKw8VToT86xo9Tv3AeHDsX/Z9s2eOop1aucQmKWrZT0eg7VNVPWrIo666Mdu6saWTL124zwxeMlisHIE/tVDbJJk2zfn4yo6pYGZHRVvF6OVtVLHym8ZJ3aV0SWco/EqMR5IiTah8czsW/2d0RNxGorzmbo6aOUN9fzS120TzzpF111LiT6fa1/1/RvHr1tim2BYi0S5uGbVKfaG2MupC63gNs/fiO0z9T3XocbblA14l59Ney8kZWRVi34BRfM/RrZUysZt+0jjuYX87cpsxlz8gDTvJtD3w2Td9i7F/71r9AxK3/4RlwpMh0KzH1+feh7kdNVraqvHAMlifx8NYKkoyP07Gm/V2HQ8XPaIKXKW+8joCg05ORbRvyMPrmf3SUeAhEVve5ZXMuIecssF2K0edsD1RuYuXAFBxtaueQbf+Lxi243/Y5Rmrg/oFDodqGUlbGjdCjT929EACNOeXnfWRz1/Bi9C9ocNVZFRn3b7WKnv9zTfwBoET+/+Q2ccw4Hz51m/SUdRjbXqILpN754FbjdquNn7dqoNK+uIMcLiZOWET9W+Y+a1/a+59abdvg+f8C2roN+n6ZsNwHhCHmcr9xXQ3uumwdOlsT0LFpF1rhdThQlulx7S1YOOQYaP+d5t3DVzg/46aWfC3nHn5x2I19ct5Qvrl3Kj674CuOO7WHCsd08+ImvA6ph+KVrFD858ZLqLDhP1SSKjNqJhfA1w4AiIHqlKLtAbUtHU3OYASuY5OJKgNxcW+cwC9HLu6A/V0PClb2sSIkGT1sbHDsG8+dzXc4lhvfZ7opgFFu2wDnnwM6dMH164m20QKZWSADOzu0gJ6BGSmqDM+i+ldB07Kj/783fkNfm477rvhu2/cKm4KBu8mQG7z1sy7bKFWV7yBX59MVqdVUrD58qYWmNRPvweNIqjNB0fj4Ycg4fDj0XiC/9orrG25lKHwOHgJwsZ1I0mqprvGEVebR0ttsuGBqln2FEUZ4rLAW3LcvFSxNmcWftqxQ3n+bGLe/w4FtPwKWXqtUgdYtUkc9LeWMdDy99hNoREznvn/+EggKcQvDKuEv5wVu/5471y0Miz6Hf0+9XnUp79vCPFRuY+48tCWUC+DuUkDNJX9TEY6AlIsdAXaSfOkd4+f2d3P/67rBnQJtXaUV0jDiTk2ep8TPmxIGwiLt48fkDEZWnoisR6zF72uqb/exZeB17NlzOtKUv0N93hvKmejblD+KpiOfHzHbOX7qJ/Jws23ZJ0xGMlVZqRz/oxMAhsHuNGoXz4Yfw+OPMvXicbTtp5jw2jNKZMAHefVedy3zpSzGPbRc5XkictIz4mTt7LC5ndGeu5f5WVXp45NbJlp5SJbh/XAgRNDxNeIrcfPrIx5yYdhF7moxfBP2ExWrV6eGbJnLawBPdkpVDrj/C8aMozH3nLxzPK+LJqTeGNh/uX84r4y7h9vXLKWht4qaNK2hzZLF0/KWhfd4aFizDt3x5aJtdj7JGv0Cb6rUPUlXpYdW8K9iz8Dqc/dTt7rbO9DSfP8Az7+xQ/2Mz4sfMEP5s3Qn1PymI+DHT2umSBs+RI+rfHk/yvc8jR6qhz5pXPgVYDeYlfYe5U4oANfVUG5x1ZwWTdOuoXQE/t25eyZyNKxhzfF9ou9vl5I6cOtXBPWaMLdsqK8HYx+h+yvuXHtjp31L9+1n14VaRq/qolUT4aPA43hs2iYWXfTG0zW76hba4YrdISYdC1Kp5omly85duiqrI4+9QeGX94bBzmI2SW/yBqCj1xZOvJifQzpMvzGfBP3/Hkcuvhtdfh4suUh0/wXFw5PMy+fB2spQOfnTRXaESyAFFwZedyz/OuZzrtv6b/sFFh9BY+he/gI0boamJZU++krD8QySa02fVvCtYufW4HAMlk+Dc4Xevfhx1X7VoYmvHj3nET46/lWH1R9hR2jXdTKOnqDjP2gEUyeAiN9U1Xn7RNoh+bT6u2/ZvQC3lHvn8mNnOep8/rkX5yGwTM5sXa1zidjkZPWMynDgBP/2pmuHxuc8ZRuzMHFViGCUXl00/91zVwQRJjfiR44XESUvHT1Wlh0U3TyY/u/NHFcBtFwwNdYBVlR7mTDXvDD1FbhbdMjn0ENvlTE4+A5VWVt08jH4H9vL7fuYPkX7CYuYBLc5zsWj5NkNj0+LKjhJ3nrlvPRfu38AvL7oNX3Z4BM0fLvg0BW0+7qp5lU9vXsnKUdPCqiGcyC9m04Czwhw/kS9zLNz+llCqVyS7m9SUicj0tIa6M+o/bEb8mBnCHT6HKl6VAsfPQ1UTuWvGsNBqklMI7poxrGv6Pt7g4HLwYNPJa8KT2txcGDJE9ZKnCBkqKQH4RJn6Thws89A/6PROhiaHXeJ1TqeaS07sIqdFXXX89oZloUHQnKke6lav5eOiIcz82TtA9CTtrhnDkjJp64sYDTzl/UsPzPoxhxChiQckz2lhRGQfrvHK+sPMfWG9ZSp+VaXHdopTJL7sXD5zx4/5aMj4sO12+sl401g9Re6wxTYtWjiRVCSztJd6nz/sHGb4/B1Rbd9WPoLairOZcngHe6tuZ/Abr6hjlSlT1HLNQaHTyOdl4pEdtAsHdWefE3atAM9O+SS57W1UbVrZuf3AAZg/X40mAkZtWWfrmvX0a21m6sHN3FnzKv/3xq/5+poXQp9pv50cAyWZoOPnzIn6qI8KW81TvTTO5ORR3GYc8TPqlBcHCjuSUMo9kvpmv237oAk937u4lveDUWq3rVfTH/eUDAbCnx+rOUAiGQdatJBR+phWjU9vh/OznaG5n6bNdu4lwRLkzz2nVqcqVOeRkbbnma9eGEoPTdimT9TNsYKZKMlA8wHo53TxiGD3ZdIy1UtDv1ihAEvWeZk2vISqSk8o59wIzeunDzsbMW+ZrXOeycnDdeY0vPYaAG8Oq7Q8h4ZhSU2noLGl3XS1pyUrXOOn0HeGB1b8gYP9y3l28idxOQTZWY6QUPWmgaNYNXwS9/z7GXIC7Sw598qoY9aMO58Jq5bAmTOhlRX9fTALx9bIbjV3/Awq6Uer04XbH+74qXAH/Yc2I35MQ/SK81SdnxSkeoE6cExW+Xag0/Hj8TC3oiwsrBrsVaewZPTolDp+ZKikBFD1GYDRF0+FF15g1X2XgCu+FTCIv7Smfv9Ct4tcl4O6Zn8opcMhwvuA7sDlEPyPY5/qgL71Vm588UVufOVJqr1+7l/yMfcc2sVboy4IDbQevmliYqmcEkMysSpeX8AsXUqLzuiu9+GhqolRgtJGDg4jkc9Z48rD0jzsIDAvE+4QIjTRMiNeB4JRuWKzdGxITvW2eEtLf3/2N1k2M48RX/5yZyWvyuA4ubYWRo6Mel4mH97BzvLhfOeGyWHXev+LG9g0cBQfDxrNHeuX8/z0T6n34O5vq1qVTz1Fw5Wzmb5/I7+ZcYthe7TqilpEUEnzaf7y3A8492hntHRAOAgIB3+cVkW7M4tCt4uZC1eYPgtyDJQgwVSv4bkK+yI+0iJ++g0s41iz8Z0/k9uP8/3GC7+jQxW9Eo/4MZMA0d4fO9WkFd3fRwvK2FtUweQjatbDvqKK0PE05s4ea1pVNKAouF3OuJzDENvmaX8eqN4QZvM0bbYrzylglvbFb3zD8lxd7pM1x8/IkZ0FfJKAme6c5iOQmJOWET8QOw3FaiUl0utXXeO1HfVzJief0kALvPYau4sHsz9CPV4j0utptFqZn50VFWobdj1aqpeiMKjhBM8/8z+cdcrL92d/i/Ky/iy6ZTJFedlh3/n9+Z8mJ9DOKXd/Vo4KD5tzu5yM+MxNqvjoypVh16+tGMXKNc8PtJk6fmaNK8fnii5Bf/6goJGz6fixDNErLU1JxE9K0Dl+gOiY6S7IBwEwalRKU71kqKQECDl+GBv83U+fjvsQZgKGZqvTkfvX+/y0+Dt47LYp7Hr4WvYuvK5bnD76V7TI7WLRLZMZ+/H7MGMGPPigWrHw179m0fJt9Ks/SVnzabYOGAHIlABJ3yFyfGO0Uq2tRKcau1E0WiXVmQtXMGLesridPqBO7ubfOMEwIlErJGIVgROPA6HI7YqasJiNgxe8HL3iP/eF9UxZ8EYoMkgfMa8nMq3FbBxglv5SP/Zc+MpXwsq3v9xeQkA4+MXPnmfEvGXMX7qJ84YVqs+JojDxyA6aJk4xHTP/ffInGX98L789u50qbw289BL84AcwYgT/LB/HNO9mnB3Rv7kD9fdZdPPkUHt/+MZvGHNiHz+75C6+POcHXPQff2LeJ79Ndkc7Q08fxeUQNLW1mzq75BioCwQjfr5cOTDqmSrxN9OR5eKiiUNMv96QnUfLyTrDz8acOEC7cLA3GFUTC+3x1GyVp8jNnTOGGb7Lh077uGdxLe0JpBOuCep+HexfTqsrJ/T86IXVzVRHtAgaza4W57lwuzqn5fGqlegdzdU1XkOb5/MHeHibOofbPGQsI58/kjJR8+oaLzeurAdgRf7QpJ6ju6UqelMhnLSN+IkVgmm1khIZGXT/ixtsd/iN7n5c0HYcVq7kXxOuMtzHIYyF3zTPqLaSbRZqq73LLa4cHCiMO76XPyz5IYUtjXz+1gXcPvdzoePfG+Ep/tdZU3l/2ERWD52I39nZMRfnuXjwhglcfE4ZfDdPre51441RK0ZWueYOAf0Vf5jGj56VW4/zzaycqIifLXuD2jw2U70iRaPDVqtSGPGTdA4dguxsKC1l0R9WRq0U+ANK10oLjh6tikfroreSieXvIOk7HD2qjpJGB0UT6+psl9zUiLe0ZjJKcWYF2rmr5lWyA378zizanC7anC7Wecazu9R8cKmn0O2i9sHOEsScOKHmo8+frzrCrr8efv1rTn52EhccU8ufbhkwMrS7TAmQ9BX0K78jTSKo633+mFEwXcXuO1fodoWNfRLxI+udMUYFRYxsVmQko8spYkYRuF1O5t84IWq72bUajeP8ASU05vTW+3A5BE6HIKCPQnYKHrwh/Dxm4wDAMMqrua097DeurvEyd9l2xpV4OCdoI+t9flbtUsdxnobjlPoa+GX2YA5EPBuhZ+qb50PFk1z2+rM0/evfHBswnNknx1G+cAXnDRjLTW1LOefobjZUjAlrS2Fe5+9TVemB55+Hn/ybTd+axx+LLgu1fWcwSmRS0xHqh4wwHQdHlvyWxEkw4ucyj5uHJ58T9kxdVZGNo6SYldtOmH79TE6+GhmkKGGORYAxJ/dzbMAQsnJz8eszKxwCl1PQHKzemedy4O9QQu+cFlWj/a7Thpew4OVNYc+A9lonYiM+GHout214k73Fg3EKwXnDCrl3cW3YsYwkYI0yUyKJnL9p39OioyPRO5rNJEYAtrc4+csFn+K1sy6IqjSWrGc/1PaAm1fGXszSMZfwbhLP0Z1pmr2tEE7aOn5ipaFYhafqO2M7q0NOIehQFAYXuRkzxkPBstUAvH2WsRCV1Uq00YtqdA3eeh+tWWo0z3N/m0er08Xtn1nIpoGjWK97oIryXOEGSji4446Ho4754A0TOh/AWbNCOj/x5JgrHQouX7NpxM+heh8+V7Tjp/F0sBJQHOXcTY1daSns32/7OHaINwXFNl4vDB4MQqTGCI0apf69a5eaQ58CZGqFhKNHVUeP5uypr4/7EGbPubfeZ1iNwup90VeSseLSPR8x/60norZvHDiK67/wC1vtjhTd//APz3O+ovDpHfkcW7iCn9zwWS5+5RW+sHcVHafUlcgt5Z2OH5kSIOmLWI2/urTY0cVza2jpE63tHTGPZ1WRVZt7VlV6ohbhNCJX2SPT0FwOQXHEOC7y/Ea6GdU1XhwWbYuFv0OhyO0iPycr5tjHahwwf+mmsEXMumZ/2KRn0fJt+AMKmwecxVRdWXaNicE0mHXlo3jD7NkoKGDv1Tcy4tlnyQfm3fEwbU4X3nof/mFqqsj0AxuiHD91zX5mLlzBoXof52S18uKv/4OcadP4j0FX4DvTWThlV3Ah4Ow6L0tNfgcBMm23q2iLxk1NVF0V8Uzd/gQUFVmOic/k5JHd0U5OexutrvD5xJgTB9hUPow5Uz2s3Hocb70PpxD4OxQG9M/lx8Fnu/KHb9Ac8RtHpkEtWr7NtuB6LNYMUyN+9pR4cAgl5PA0Qj/XtDMPiccpq480WrR8m6WNdArBD2Z9NWxbvAtvsQjNPYXgW1Xz1I1JPEd3SlUkY6EynYiZ6iWEGCqEWCmE2CyE2CSEuDu4vUQI8aYQYkfw7+JkNEgLp/LW+yzVxGMJgmoTCDu5y/qOtb1fMLIiN5fVwRC+eNp+33PrLR0tLmen7ktL0PFzOrcft9z5EzYNVCf6+nC1FptOm7CJ0uzZqjbM7t1xOR5cgXY1r9rA8aMNQlpcOVHizoM0+2wz4seSJKd6Vdd4o4Qf576wHu/VN6iK9l3B6w2leSVd3Bk6IzBSqPOTSXS3LeozHDsGAwdCUZH6/wQcP0UWVTGMUr/M3gsFuGdxrS27PfHITgLCwXnffobJ33mW87/5F34z/WbOPbqLIl+DrXbr21Fd42X/31/idE4+6yvG4K338dX9BdSPO5f/rHmZicf3cKigjNNutY+QKQF9l75ui6ye+1RFwVmNDaFTxNRT5Oa8YYW2nD6eIjeP3DrZ9PN63eTQTh9vNEHwdyjkZWeZZn53KEpY9IyWmnbv4lpDp4/b5aTIbU+Drd7n79KCV1Wlh/yc6PVhnz/APYtrwzQjNw8cyZCG4xT6zoTtO+nIDtocWWwtH2n4bFTXeKn84Rt8p+B8AJacewVrhnVqMR7rV8Lu4sFMP7DRsI3a2O4/ljyGaDjNW/+9kANnwqvlNuT243h+EWUH99geq2VKakda2SLN8dPYGP1ZfT0UFVmOiRuCws/9I0q6uwJ+htcdYmvJUF5Zf5imVlWyQq8xNvf59TxQbV5BT1uEiqVzGi8H+w/g8Qtv4/mJn8Afw+R0KAqP3jYFULM57DxXkYLLmvPKSEgfiKrEF4nAvAp1Mm13qiJy7PoIkklvE4G3o/HTDtynKMo5wAzgm0KIc4B5wFuKoowB3gr+v0vodR9AnQRoP2ykmrj24JupohflucJE8GKhTU6We1WnxpGpF9KWbRzBYtTpam2PuToT/Lg4z8X7wyaxZMIs5tz5U/aWhHfI2j3wxbIkQcIewNmz1b8ffpiv7VjJrevf4Nb1b3D19veNYw6D5AeCDp2IVC/9tam6RJ2OH7fLyXVnBwW74oj4Me1Uk5zqteDlTdEpWO0dFP/rn/Duu107uM7xM3f2WFzO8GdR7+RLCH3EjwS60Rb1KY4eVR0/xcFxYZ1xjr0Z1TVeGlustcMg3KGdjEpe5x7dxa6SIZzKK+S0u4Dj/Up4c/R0AGbsj2379e9ndY2X+xbXctGuj/j3iCl0ONS2+do7+MWk6+m/ZwfX7nifvYNHyYpTEujjtqiq0mOqAZOKFVejsWEkHQo8etsUVs27gtW7Y9swfaqFnWsx08KZNa48NJYxm3Bpzherc+gXqcD4GrXooOsnG2tPGmFHcy0S/fjMahKp/2zzgLMAOOfYnrB9Jh7eybby4bRluQydK1q5+48rzuZztyzgf6/6j6jzrBl6Lhcc2ITDQOcH4Jqt/+b6re/y2MzP8NWPWig0GKPvKhnC+IZDpn1PU2t76P7Eq1nXw6SPLQqmetFkUJK9rg6Kiy37/oYcddE5sqT7iFOHyFI62FE2lHqf31BGw9+h8PRq62wB7bfsqvwmqGOA4jwXCMHPL/0sH1ecHfM72rw00edK/14uWr6NubPHhjmEYmV4CODOYOVRI5Jpu1OxGB6PjyCZpGRhvweJ6fhRFOWwoigfBf99BtgCeIBPAU8Fd3sKqOpqY4weWgX1B9UebD1VlR4euXWyYWesKMStlA5wKkv9If/Qb6yhj8TlEIa52HZTqvwdqu7LgzdM4MCAodx3/X0cK4hWOo/XMIU9gGPGwDnnwB/+wP0vPsJPX3+cn77+OE+89CMu373W9BgXVwQjdiIifvTXpk/10gYhUwYEv2cz4seyUy0theZmaGmxd+ExMPL+F7Q1k9fWoup5JIqiqBo/g3VCc5HPS1fFaQsKYMAAGfETpDttUZ9Cc/wkGPGzaPk2SxF7PZqDWr9ilSgTju5i46BRYds+rhhDkyuXi/Z9HPP7+dlZYTpwI0/sp6LxJO+MDC85+syw6TB4MM62Vi66KXzlTdI3kbZITS/vruIAdsZXesdyrAW4yEmC3WvJyeocMhfnuZgz1cOSdd7QWMYMLeLG6hxGi1SRaNFBK7cet9zPCLvCp5HjM7t0On52d25UFCYd2cGGQWMM72fk7/rOWVNpzo7uE7aPO4/C1iYubTkScrxrlDSf5v/e/A0fDxrN76bPoUOBprZ2XBHKuHvLhzGu7iBVUwbz8E0To5x99T5/aBza3cKxXSGtbJEu1SuKYMSP1vcbOVvP5Kjf7x/h+Blz8gAAO0uTU8pd7zCIlyK3i73BMUA86WJm89JE30sjp5FVBIpTCB69bQoPVU1MzUJ1BKkoHhOvjyBZ9LZCOHFV9RJCjAAqgTXAQEVRDgc/OgIMNPnO14QQa4UQa48ft+6sEgmnMgt5i9RusMvh/mW0CwdvDJ8a9ZlTCBbdMtnw4Yon5OtQvY+qSg+3nW9ellCBuFYXwh5AIWDtWlUrZ/9+lr/6ATf999/YVzSI+9592jTqZ+fe4O8T4fjRX5tPl+rVETzOr15XK3lc+cv3bbXZslPVyv2lsLLXoIagwyfG82hJQ4PauXk6c3AjJ7+ak69LpLiyV6aEM0eSalvUpzh6VHUwJuj4icf26R3UWghzIgOw0qZ6Bp85EUqP1Wh3ZvHB0AlcuN/c8fOzZY/y5PMP0tDUEjbIv2zPRwD8e0Rl2P7lpf3h299W/zNpUgKtlfRm+qotMht7pWLwbdfGaPuZRYILCE3aYlVl1V+LNumK1Lp5evX+mA4pfWSR1TnsTCI1+5loioGd78WjC6nnZH4RR/qVhBw/+dlOLuiop7C1if1nnWP4bNhJuXG7nMz4wk0A/HmUjz0Lrwsb735/5R8paG3iv669h0AwUtMfUGhXFIrzXKF7PWHWBWQ3nIYTJ0yfUa0yXaamdvS4LdKlekWOLVtOnAqNMaoqPdT84OqorzcEHT+RET9jTuynA8GukuTZFs1hEC/6uaWZnYkkP9tpOS/11vtijr/tOCOtIlD0KaVA1MK0P6CE0jeTMQ9IRf/QU+9ld/Z13YFtcWchRD9gCXCPoigNQvfAK4qiCCEMvQmKojwBPAEwbdo0ywUEK7EmK4FeI2G6WOJWZrw2diYfDxpjWMY96sWx0XazfatrvCxZZ/1yxZOqFtUutxuGqo6l2UOHMvua8/nupg/5+bJHmb39fZaPvSjqGMIXbH+E40d/bS26ql5a2OJXGtV83L2NAVtK55Yv76gS9T+nTnWWSe8CbpcjKl2u4kzQ8dOViJ+IUu4pM0ijR8Pbb3ftGCZU13iZ+/z6kMNKy5OG9Faq7w5b1GdoalL/DByovvcuV9ypXnZtX6T4oGbL87KdNLXFN9GYcFR1hm6McPwAvD9sEt97+0nKG09xvF9J2GeFvjN8avPbuDoCfPXDl5iblRV6/i/ZU8OukiF4CwdEtZkxF6il3W+4Ia52Sno3fd0WxSoOYDZui7fgQmSRC6v9AO6YPtQw7ePOGeYRA1bXkogzRICtsapd9CvMZjY3z+Vg8/9dY6pjYqXFppHImEWgziM3DziLc47uxu1y8qNPT6Rqm5pOP+9/7wID8Wrte6bHFfDwTRPxAd7iCjb8ejHfPXF2qILTxMM7mLNxBb+ZfjPby0eEfVdRoMXfwaO3BcvIv9YKjwBbt1J9sM30ear3+U0XI+zcv54iLWxRVhbk5LB995HwsWVdM476era3ZaFPiIoUPT8TSvUK1/gZc/IA+4sGRQk+dwWtglu8c0W9cyVWZKFTCO6YPpSHqlT9HatzxaoUZVVAQxM4N0px1CjKczFlwRum1abttiMekl08pjsFnSPpTYVwbEX8CCFcqAblGUVRXgxuPiqEqAh+XgEc62pjrHKo482LTFRDIuBwGjp9wNrozxpXbrg98gZrnbfd0GW72PHQ/mvaVewsGcJ3//20Ya50SLtHp/FTXeMNCamBGvGT628NC1vMCfhpFw4CDqetsEXLfMkkR/zkGjwDg84Ej336NLS1RX1uiwjHT8pyQEeNgoMHk5b6pmf+0k2GUUrzl25K+rmSRXfZoj7DseCtGjhQHWUXFcUd8WPH1gqIEh/UbLmZ02fkKXObdm7Q8bN54FlRn703XBVrNYr6mb39fVwdATYMHMV97zzNmMO7EAJy2tuYfmAj74zsjPYJq7bTrx88+GCU/pmk7yJtkTVmqQkPVG+IazxnV0MMoLFF1Wl5qGoid80YFlqRdwrBXTOGhSZg8RKvM8RT5I47JdRKsDlyhXnu7LFRqUyg9t/VNV7DVA7ovD9WWE0ejXC7nCHdkC0Dz2LMyQP85LoxalvXriWQncOlrx6Piipe8PKmmKlkj946BVD7jPc953DBgU342oLPgqLwwMo/ciKvkF9deKvh97XxaHWNl5tXqtqRCx+tjjnGMWtXggXWUk5a2aL8fD7afDBsbJnb3kp2RzuvHgh/jyLvZyjVqyVcHHr0if3sKDPPkIhF5Jvgcgjqm9tsF5LQo482M4sY8hS52bvwOnY9fG2YzTGbJ2pYzZ/M5hKCToHzep/fcFLvcgpONxtrI8Xbjp6kt6Vc9RR2qnoJ4I/AFkVRfq77aCnw+eC/Pw/8o6uNMQunWrn1eNx5kUbH6qqgl5XRN8u5LsxzGYaHJTs0bcHLsSfr10wZwqMX38nYE/u5Ycs7UZ/n+YPOhWDEj1F4s8+VQ16glYdvmhjant3upy2rc7AQy5AaDVpcjmB+aZIdP/UGqzqhiJ+unOfQIfXvoMZPygzS6NHqg7dnT+x948SsE7DbOXQ33WmL+gxHj6p/DwxGgSfg+IkltA/qQNqO+KBGpXcrK3//dWburTX8fMLRXewprggNFPVsHjCS0zn5hjo/1299l31Fg/jcrT+kLq8/j738M7LbWpl2cDPu9taQvo/LIXjkVuO0XolE2qLYmKUmPLvmQFzjuXg0xPTp1Q9VTWTXw9caTsDiJZ4FnET7/fk3TjAcFz0WFKyOTE3rlxsdsO8PKKESw/nZBp/HSD+vrvHS1BbbyeYUImxM+1DVRFbNu4Jv3nszWR0Bbsw+DcCJt1exsXwE+8/4o5x/sSK48lzq9ER7jtYMPZcSXwOjT6h6L1fvWM30Axt59OI7acyJrkSroZ3zIwpoycqm5OCehMc4iUpIpJK0s0X9+pHlC4/Y6d+ipm4dc4a/R5G/g9aflzafDm1zdgQ465SXXaWJO360tC5B0MEqMF1wipW+pX8Prcb9RjIKdrS5zOaGRucyipjrQL1G/bwzPzsLe2WCYrejJ+ltKVc9hZ1Ur5nAZ4ENQoja4LbvAQuB54QQXwb2AcYu9zgxCqe6d3Gt4b76EDejcOHIY42Yt6xLbbMy+mYvSV2znzyDDrjQ7UrqBNtOGPTKrcc5NG4mm1eP5J5Vf2PZuEtod3a2LVSmPej4MRy4BVO9qio93PfcegKKQk6gjVZndmgfW3mvkbto/y/RpXolAaPQwDDHz4kTUGG/QkaIiIgf7TmLJ3zdFlplr507Yfz4rh0r8+lWW9QniHT8FBfHneoFnc//PSa2WsPuYGL8cdXR+Ymda1g1YkrU5+ce3cWGQWMMv9vhcLJ62MSoiJ/Spnpm7lvPb2bcTF1eIXOvuZu/PP8g//Ovp2hzZtHmyGLN0HMB6JebJQcTEiukLYqB2bsebynheCcgqZiwzBpXHrNiEIAjmJqUiO2IdwxhtKgFnddvNl49VO8zTbVbtHxbTIFpt8tpfo1Tpqh/19bClCnkbVhP7blXhO2iOf9i0ezv4N7FtaGJ7epgiffpBzayt2Qw97/9J7aXDuPvk2fHPJbPHwCHkz3Fgxl16mDM/c1I0yo+6WWL8vNx+8Mj1AuDETwNuoUao8izpuxc9hZVcN+7TzOy7hCPXnwnOe1tZHe0s6MLws56IekzLe2WKVodioLHJKUoMsLH7J0FNUpNmz9pzkc7i15mz5jRucwW2et9fubfOCH0nZEJzH311QaTPq/pAr0p5aqniOn4URTl35gLoF+Z3OYYY/aAayFuBP++d3Eta/edMl3ZMXuZ42lHV9uo5U7a1ARLKofqfSjCwSOX3MUfl/wfN21cwXOTgwJrisLQ+uAkMOj4MRpAtQRTvejoCBnPyIifWHmvRoOL0ErVd2aoG5IU8TN39tgog+tpPIkiBEJREhd49nrVSbI7XKw26QZp9Gj17xQIPEfmV+u3pyPpYIt6HZrjZ0BQ1yaBiB+NqkoP33vx45D+gh7tmbKrBzTilBpRd/nutSzg62Gf9W9pZHj9EZ6d/EnT778/bBKzd6xmyOmjHCxUnVrXbH8Pp9LBK+MuAdQKMk9OvYEvrVvKKXd/1g45J1RRxmxSJZGAtEV2JgNm77pTCMMxglW6dDKO0xXsVtGyK/ZqRuQYQosaMLrPsfQuTMekgihtP21cauU0M9IsimLUKDUdtrYWtm8nr81n6KCPNUbU0O91oHAghwrKmHFgI66OdkbWHeYLN88PCTrbYVfpUM49kliV1HRNKUk7W5SfT+HpcAkFrUpXoLAI6MwmiEQRDqo+9wj/sfoFvrDuZW7Y8i8+HKJWUU401cvlFDS2tIfGurGePe0Zj5w3mP3+RuP+mQtXGEY1mtksDQGWz1jkucy0vIAwnZ5YGmmRkUPatT5QvYFnVu8PfZZM/Z9MJd0cYYkQV1WvnsJuiJsCPLN6f5QnWes8vfW+hNO9Yhl9M52LyDZqIc3xlAFMFtqA4K1RF1BbcTbfee9ZinwNfKb2NZb9+W5+sOL3asRNMALGaADV7AqWbPf5Qt7vnICfNmensyCWUr7lyl5enloWPkmOH6PQwMmiETEmOBgxEHi2Venq0KGkiE/HpLQU+vdPSUn3B2+YYFjS8cEbJiT9XJI0JYmOH4Af3zTJ8pky06aIZES9WoxkZN1hhtcdCvvMSthZ473havWtC3XpXtdveYcdpUPZqhMBXXjZF9hROpQSXwPv6vR9HEJkTIU7iaQ7sVNWGMzTIO6YPjSutOhkHacr2I0iSkolzyBG9/nexbWMCI5LZo0rt7x+szFph0JU6pxWzcph4rjSNIs0fUrTsZHDAZMnq46ftWsB+HjQ6KjjJeQgE4I1Q8/lwn3ruXvVs7wzopK3z4quvmvFrpIhDD19lJz2+LQdnUIwZ6qMNLBFv36M6+cIGwdojp/bruoUOTaLfql39+fhWV/i8q89QfU5s7hw/wYCwsGukiG2m6BPRczPzrKdKmq3Ap+G0VyhusZr6owJKIqpHqJAFZ/XVxKMNQ+x0lfUp89a+boeu20Kj942JepagTCnj9FxzcjUasGxsNv3pTsZ4fgxeglNxdcg7KHU/1Da55o58hS5mTmqJGYnZCePUGujlUCfxqF6HzbmPiESEak2IjQgEoKfXfJZhjQc58NffpYfL/8VDqWDP905F/buhcLC0P6R5w7kBp06zc0hobLsdj+tOsdPLAGzmELIJSVJS/WCzrLRmthi/xNHOkOSIxw/tl9srzek75NShFCjflIQ8VNV6WHRzZPD3qtFN0tdkz7FsWOqsycnWC0jwVQvDVvPVITtMzKFI04dYmvZcAAu370u7LNzj6jvwiYDYWeN7WXDOZFXGEr3GnDmJBcc2MQr4y7BnZ0VstOtrhzuvmEumwacxatjZ4a+H1CUjOzQJZJUY6esMJjrMTxUNTEunYZkHacrxBNFlKxUM6P7rF95X7LOy5ypHtPrt6O9pqfe5zeMRtBrltgaG02Zojp+PviA9lw3hwaNiDreHdMTi95YM/RcSn0NFLQ286MrvkxxfjZ3BYWlIbZDaVfpEJxKR9RiQiwCisKSdV7ZH9ghP58y4Q8bB4xwqDISl09Xa3rZifo93L+c/7n2bq7+0q/43K0/pMlCxymSR26dHBrv29VlKnK7ot4f/bzByOkT+T7MfX49c19Yb3oOrWBE5PPqKXLz6G1TQtkqdt817R03I1bap3YMo2tdtHyb6Tzbysb1FueIEXb7vnTHdjn3niaeEDf9drPO01PkZtW8ztzjkfOWGT7kAsL2i9XGRcu3xdTuiaf0O8RX3cuKqkoP85duot7n598jpvD0lGvIbW/jmSnXUDN4LO7sLEp2NlBVWRDaH8JzSq+96Gx4Hdi0iZVb1ZSOnEB4qlessOiYYZSlpUmL+InizBm1mtekSfDcc1GpXlYvdpjh93rh3HNT08ZIRo2CmpqUHFrmy/Zxjh7t1PeBzogfRUk4HzVWWeTINM9IuyuUDobXH+ap864nO+Dn8t1reWpqZxn1c4/u4mD/curyCs0bIQTvD5ukRvwoCtdt+zcOFF4Zfwk+fyDsHd888Cyu++LjUYcwfO8lkj5OLC0eO6Hw8fY7Zvt3V/9lNGYxK0WerFSzWA4knz/Ayq3HLcenVZUeU41Mu2iRLmbpK1E2srISfv1rePFFsqaex0M3TzF8Hl5Zfzhuncs1QZ2fxZOuYlv5CNz+DqYNL4mSdzCbH+wqVaNGRp08GFb+XUvBcQg1IsoI2R/YJD8fGhvD381f7oHnUBeWME/TNGJX2VB2xZHm5YxYVbdKFe1QlDBdnkXLt3Hv4lpbKTxGc4VYkUUBRbFls2zPQ+icdyaS9mmVnWFlf6xsXDxtzySsIrnSUQjbioyI+DFi7uyxpmlbgk7hMLuCgckqxx3rAejpPOH5N05Qo3iE4IHZ3+S/rruXGs84EAKfP8CClzeFhegBYZ7gqd/5AgwfDl/6Eg1H1WiZnPZwcedYTq2YYZSpdPxooswjR6qdUETEj63npb0djhzpnlQvUCN+9u5VzyuRWBB3iK2R46etDVpaTL/SFex0kBVnTpAT8LO3ZDD/OmsqF+7fQI6/NfT5uUd3sckizUvj/eGTqGg8yci6Q1y/5V02DxgZd2WQTOvQJZJUYzVW6q2rvUZjljtnDEtpqpmdsacd+9RVR5S2kGdbfFuLpvZ6Ydo008iJ0Fg0DvaUeLjr1v/j/674KmC+2m6WArO7WD13pMCzljYYKyNI9gc26NcPX31D2Dhk8xZVGP2y333EyHnLbDt9EiEQkW5pliqqjwoC4rZbiejFxpLB0IhX6D5WVeFEqg5blY+3+l6yRPrTCTNNKo00FX03JWMdP1WVHu6cYazyrk/3suvQSVY5bqsHQO/giJUSJoC7TK6vK8QKDaxr9lsbv8JC+NvfYP9+frz8V6AoZEdE/NhJY7MMo0xyqtcD1RsYdf+rjJi3jM/NX6JuHDoUysqiIn5sPS/HjkFHR5TjJ2V5raNGqU6f/bGrisRLb83F7YskNOmKdPwEV+TM0r26+rzY6SA1Yec9xYN5+6xp5La3MePARgDyW5sZecprqe+j8d4wVefnlg1vMvXQVl4ef2lcbbXb3lQj31FJOmE1VuotofBGRI5ZUp1qZqXfoWHHPhkdx+UUtmQJoHPCZntxdMIEcAbPN22a6XHjkUfQDyn/PbISX3ZuVPuMjh050fZl53KwfzmjTnY6frKdgmfW7LcVWV+UpoUv0on3j7bQdvpM2Dhk1Yc7aHblsK+x3TR9KJnonwk7ej1mduu+59ab9rvx6lTFM5+MNxAh1jUmUgbdTFtXr0OUjLZnAlaaVD0dzJEIGZPqZcRDVRNNS2xqL/7c2WOZ+8L6sPQCl1NE/VDJKsdtlsYU+ZLNv3FCWGUFjSK3K6wMn50SohBfJSar0MBIDEP0LroIFizghgce4J0RleS0+zmjy7+1qaNmThIjfh6o3hB2Dwc2qI6eRzY3cl95eVTEjy01fy1qSKfxo026I8s3QhLU77XKXjt3wlnmuibxktI2S7qdhEJsjx7tFHYGNeIH1HSvCA2rZDwvRvY4kpFB/YV9xRWcdBfSkpXNZbvX8a+zpjL++B4cKGwMCoZahYzvLR7MoYIyvvJBNUCompdd0qFDl++oJN2wGiuZpRVl8mqvFalMNdPfZ60wiVHlnXiOE/l7mUkc6NEmbGZjo1njyqMrj40bB5s2WTp+NFrbo6tA6vEEj6nJFERSaOI40q47sr/ZXTKEs06pYziHgIBiLX6rJ4WBKr2C6hov3pN+pkWUc+/f0sTpnH5JP5/dyn6x3lMz+6Qd26jfjSdqqTjPxYM3TIhrnGS3qphGrGtMJL0W4p8T251zZxJW/VeqdOVSSUY7fqprvPZefIPyX2v3nTJ8oLv6A9p9WezuZzcXNt5KTHNnjzV0PBnhrfcxct6y8DbOm8d7TzzHgn/+lqZsN7UVZ8d1fktKS9WIny7ojGg8u+ZA2P8HnVEdPX/Y2cZ9ZWWwb1/Y57Z+F83xo4v4SWlea4pKuvfWXNy+Stwhtm1tqoMnMtULDCt7JeN5WbvvlKXTB2B43WFasrI5XFCGIhy8P2wil+1RBZ41YWct4sfSNgrB+8MnMWfjCmorzuZA0SBbbYTOyUZPvwfyHZWkI2ZjpVglxruT7iy7m6pz6e9zV84R7++loRd21myRNib1FLmZNa6cJeu8UY7p80aOZ9jBg3B29LhQfx2OGONbvRbngpc3Ge5jNURc8PKmqP5mV+kQbtnwTzyFuTT7A3FV2LUrFNxXWbR8G1WuXFwdAVwBP/5g0Zf+rU005OYn9VxaHx2vg8QIO7qrmhSG9uyazc2K3C7yc7K6ZAuSFYgAqbEbMYm4Lf6Awtp9pzJ2zGKlkZSJ15Sxjh9tJdSqCgEExUQjnBv+DiUsCkRTY4fkrKLafVns7DfjrGJW7Yqd9hRPu6trvMxfusl2iUMgLHVEO9+913+X1578DuVN9WHl3LtMSQn4/dDYCAUFXTpU5PNRceYkx/OK8Dmz1FSvYMlRPTF/FwPHT0rzWisq1BL3SS7p3htzcfsycU+6jh1T/7aZ6tXV56W6xmsrgnFk3SH2FQ1CEQ5yshy8fdY0FvzzdwytP8K5R3dxLL+Y4/1KbJ3zvWGTmbNxBS/HEe0TKfyvtb27JpF65DsqySSSNRHrKt0ZKWfnXMmwH6mILrISrdYm1kDYPlpJaqvUvm9PvIV/PPg/anl3HZH3ysrpE/nc1Js4aMy2V9d4DZ06u0qG0K/Nx/+eV8g3Vh41Pb8RmZyu0h146334XGoantvfGnL8FLY00pDkiJ9D9b6UZmoYUdfsDz1TZnNPfcZGV0jG+94TEcNGc25Qs1emDS/JSEdJuvRrySJjNX7Mcu60cnnaw2V3gOzvUJi/1HhFoSfZezJ2++0KhkGnIYi3moKGPl//eP8y5l57NwCtWZ3izvGUqjektFT9OwnpXpF5uIPOnOBIQam6XUv1ijDgMTU1Dh1Sc9h1KTIpzWt1OFSdnyRH/PTGXNy+TNw6ZUeDg16bET9dfV40uzHq5AHWPf4ZRp8wdgKNqDuEt2wId80YRlt7B/8aeR4Al+9ey4Sju2zp+2gsP/tC/jT1Rp6fdBWghlxb5eYLYNa48rBtPSlYK99RSSaRiJaEnmTpWXWn1lCsc6Wz4LXR7/XobVPYG1HW2ez6zMbXH3fkG6Z5WWll6Ikcx0P8ttDst9Yqez395+Ux2xFJZN8g6UR7npuC+kv5bZ3PRv/WJk4nOeJH+90t9UJtEvkexKPf4xQiJRpfycDs3b1ncW3K9AKt5tzpOMe2Q1f7tXQjYyN+zB6ujmC5PI14Sqcn6gxJJcmuEma347XTpg4F3ho9ne9edy+7SoaEPk+Kxg+o6V4jRnTpUHdMHxoWZVBx5gQHCwdyx/ShsLNMTXc5cwb69wdsesi9XjUKR7ealXKP8KhRSY/4mTWu3DACQw5uMpO4V7+MHD9axI+B46erz7hmNy7eW0upr4HLdq9jZ1m4gL2jI8Cw+sO8M+YCXll/GAXYW+Jhb1EFs7e/z5gT+3lz9HRb5wNozMnjh5/4WqitWkqsmc6QAixZ5w1bmerJdKvettIk6f0kulKdzNXp7oyUi3WudE/XTFT/ROtj4okytXP/jTQxIX5baHYubaw68uRB/j18Ssz26NEqnEmi0RxtWsRPnk7np39LI9vL7BWrcTlEzGyEVPSBkWmVdiKAQJ1z7ll4XVLbkiys3rdURf9YzbnTcY5tl1TquXU3Gev4sdvh2A3hS1esXqJEdCiSMfBxCMHIectC/3/x3CvDPo9X7T6KkmAaRxIifh6qUiuYPbvmAAFFoeLMCT4YOoGVW4+zri2LqaBG/QQdP7YGaV5vVEWvqkoPa/edCp3HKQRzpibRUIweDW++qVYTcyQnUM9sECMHNzqWLu10kHSViy+G8eOTcywT4uqctOvSizsXFqp/G6R6dTWsWrNlk47sAOC8Q1v5Y8Q+FWdOkhNoZ2dhRdgg4e2zpvKFj14BYNMg+xE/GpG20kwoFDqreYB6zT2ZbpXMXH+JJJ1JpoOkO7WGYp0r09M1ra7PjjPGjqaPUwg6FMXSvkWKXTuFCIusivyOWbuP9SvhTLY7rLKXXTLlN+sJtHvTrDl+2jodP2qql72IH5fT2vETWQAnFRj1u02t7YZjhnSOvo0V+JAKB/Tc2WO5x0TkX5IeZKzjx673P7KzsEIItZPqzkG1vlMsynOhKKqAnNYBGokwuxyCRbdMTqid8URAmRFLbDoetXtDkpjqBarzZ9rwEn749w8pamnkSEEZ3nofv9/b0On4CVbLsjVI83qjJvDVNV6WrPOGrj2gKFGRA11i1Cjw+eDw4SinU6Jk+oC0W/jpT2HVquQc66KLknesZGCk8ZOdDXl5hhE/0LVVD63aw6TDQcePd2vUPiOCFb32FodXFNM7fjYOHB3XeQVEafbEWnkKKAr3LK5l/tJNFOW5DLUiumvA15tWmiQSM5LZH3VnpFyscyXLCdVTOmNW1xfLMW1H08cowsfsWrV9IiPD7l1cyz2La8Mc/GYRzQjBrtIhCTl+zCqISTqfcy3VS4v4EUoHBa3NnM61p/HT7Leu8harClyyiOx3jaKArJycyXpHYx1T/3mh24UQqu7VYAPxdSOSPd6vqvTw/Zc20NQWfc54qk9LUkfGOn7iWQnVXuCZC1dYOj0UhW4tlRtpSPSTCy0Mb85Ujzpz0dOFgJpEIqDcLgct/o6YFRg04tEcMkSf6pUEqmu83PfceobVqRPdwwVlABzJDnZExzsjXGwN0g4dgivDo5xSHs6tr+yVJMdPOlVgSVteeklNB+wqP/whPP00BAKqPlQ6cPQo5Oerf/QUF0dF/CRLnDSrqZFRPz7IkX4lVDSepKLhOIf7d6YWdjp+KsK+u3rYRFqdLppduXj7x5eKaPQ8262WWO/z43IIdRUyIjWsua292xcKJJLeSjL7o+6MlIt1rmQ4oXpCpFUj1vVZOaattDjNInxiXavRMTXLrN/XKnJ5V8kQLty/wcbVh+MPdI/TIRPRFqk7xZ1Vx0+/Nh8OFNsRP7GIjMjtLuJ1cibjHY11zMjP9Qta3nofS9Z5mTPVw8qtx03nvqkY7//o0xMNS7rHW31akhoy1vED8a+E2nF6dGfudSy9HZ8/EEod0uMPqKvRi5Zvi3swo+1rNxTP6RA8fNMkqio9YeldZricouuraprOSBIifvTV37RS7kcKVMfSybxgWsuJE6H9Yw7Smprg9Oko50vKo2dGBdNbdu6ESy9NyiGlfogNypOkd3TRRfDEE7B9e8rTvWxz9Gh4tI9GUVFYxE8yBzTXtx8GFJ6uvJb/evdpzvNuZVmE46clKzv0jmq0uHJ5bexFAHiK82xHLZo9z/FEJfo7FIqCK736gVVds79bFwokkt5Msvuj7oyUszpXMpxQPa0TZPdeRi4QmNlpK12UWNcaa0wVS3gaYG/ZUOZsWklem4/mbPsTX6MoBomK9nz88XdqlFV+MNWrsKURIKnl3AOKktK+1yriLB4nZ1ff0VjHtDOHXLn1OKvmXWErYilZyBT19CajHT/xEvkwmg39vfU+Zi5ckfIH1Y5TwGqC4q33MfeF+D3fVZUeFry8yTB9Ier8HUrIyNhKE+uqsDOo6SYFBUlx/OgNY0XQ8aNF/NS5VV0ffcRPTINlUModuiF6ZvhwyMqCFStg6NCkHLIKKB9cx/NrD3CysY1DEyr59g2Zq1Sf1lRWqn/X1KSt40cb7DxWryDW7+FgMJolqQOatWsBeG7iVXzz/ec579BWlo3vLLU+ou4Qe4sqUES0jtU9N8xl78LroMZr6bj2FLlNV+S099puxI+Gln4bmSKWTiKtEkkmk6rJQk+lSOnpqhMqndKyze6n0QKBVho+EqtxUaxrtTMO9VrY+OI8F7uDlb1GnvKyaZAaTZ2f7cTldHDa50/KMLYvUlXp4a+F6rhaS/Xq39IEQEOMVK/iPBf1Pn9kkV1TUtX3JrrQlYp3NNYx7Rxb2yfSvmrSIvcmGEQQC5minr70KccPhD+MVqlf3RFKa6cDizVB8QcUFry8Ka42Vtd4aWxpt72/ZjjsREz5dY6iLlFampRUL/39HXRGdSQd6adGEwTy+xFwZePURfxADIN1SE1FiXT8pDx6JisLxo2DZ55R/ySJmcE/AGzZAuOkoU4J48dDTo7q+PnMZ3q6NSpHj4ZSCPWDndO5+QxqPBWyf0kd0Hz4IYeLBnKsoJSPK8Yw1bsl7OMRdYdD5XYjKXK7Qu00o8jtitLzAXtaE1YMDjqTjJCaWBJJckj2ZKEnU6SSSbqkZVvdT7MUrEjnT6xxUaxrtStXYGbjW/0BthWrfczokwdCjp+ivOxQ3zHCRnS7xJi9wZ9OS/Xq3xqM+Mkxdvy4HILbLhjKknVe204fjVT0vYkudKXiHY11TDtzSP35NfvaW+yiJDH6nONHT6wOJNWrubHO73Y5mTPVw+IPDxiWHtawE7mjZ8HLmwxV82OtztiNmEqKMS4pSUrEj95xNrjhOCfd/Wl15QDw8JxJOJ8sC0v1iokW8TM4XHy2W0Ib33xT1fhJIguWbuRjbwMAm36/ianj6njmqxcm9RwSwOWCc89VHT/pwrFjagoa4YOdhtx+nH1if8j+dWVAE7k6/Maq1XRMnYoD+GjwOL78YTU57W20ZmWHSrm/Ner8qOO4HILrJ1dw33PrTQf02j4zF66IegdjhURboU1UzAoESE0siSQ96ekUqWSRLmnZVvfTbNynYByFaRY5FOtatd/Nqi+wotnfwd7iwbQ6XYw/tod/TJgFdEb6q9XHwKiwlBSnNUf7PRuDGj/5/tipXlqFrkT751T0vXYXeCKfXyMh5a6+o7HeBTtzSKPz9xa7KEmMPu34sVPxK5WruWahd/qqXgCLPziQtHNW13hNHUUKqqGwMlz6FbkpC94wrI6TlMoHpaVJcfzoBwaDzpzgSDDNC4L3v6wsLNUrJiapXtrxUmo0Bw1S/ySJO3//PqvEENAFWKzadYo7f/++dP6kgvPOgyVLVBV50QWF9mQQCKgOz2Cql97ONeTk07+1KbT90dumJDTpiFxVajp8lHzvfpZOv44O4CPPOP5jTTvnHtnJuiHnMPjMCXIC7VEVvYrcLq6fXBFWNc8IbdXQaBUrXjtuli6WDpMviURij94SpZcumhlW99NsgcBT5I6KwrQTcWB1rWb22C7tziy2DBjBpCM7Q9sEnRHiZt3MORUFcZ+rLxD2e2Zl04HA3Rae6hVZ1SvP5aD2wasBNd0oXlLV99pZ6DJ6fvVCysl6R+0Iq+s/j6zqZXb+3mIXJYnRpx0/ELviV6pXc2M5C2YuXGEYnaOnKA5Hy6Ll20w/00ph2h1cmM1dkzKnLS2FvXu7fBiPzohXnDnJ4aBobKjyWHl5VMSPpSaA16vqDxVk/gBg1S7jVDqz7ZIuUlkJv/89HDgAw4b1bFtOnICOjpDjRz/YOZ3bj/4tTQilg6L8nIQnHZGrSloZ96XZqqfxo8HjALWs+7oh5zC87jAAe0vCHT/5OVms3HrccoDvKXIb7hMrasmKR2+bYjjZ6OnJl0QisUe6pEglg3TQzLC6n/FEJcWKODC6VqNx2cM3TQxts1t1VmPDoDF8atPbCKUDRThs6fqs3l0Xe6c+SNjvKQTN2bmdGj/BRaTIql7N/g5GzlvG4CI3hW6X4SKyGU4hePim1OhR2nmOzZ5fTUg5mcR67xOxC73JLkriJ1pBs48yd/ZY3K7wMsvpsJobywPrcgjm32i/RJ7V8bRJzKp5V7Bn4XWsmndFmDDqzIUrGDlvGTMXrqC6xku9SeSQ2fa4SCDVy6iNc2ePxeVUPVFaxE9Y5bGIiB/Nk+8NprJpK1HVNcFIn0OHklZOXdLH0ASeP/qoZ9sBqr4PhBw/+vekIScfBwr92nw0tnSWLDeyC1ZEDiwmHVEdP5sGqhXqTuYXsbeogvMObQVgpFbKvSjc8XOo3mdptzQ7bbWKZWTfXU6By2HspY587zXboq1MPnrbFNv3QSKR9AzpOq7LVKzuZ1Wlh4dvmoinyI1AdcabTc7jjTgwG5cBoX7pkVsnh/owO3w8aDT925oZEVxwsEMiqWV9gcjfrdmlc/y0NNKB4ExOXtT3tN+yqa3dtC+OxO1y8sitk1PW91ZVepgz1YMzuILtFII5U8OdK5keMSPtYt+mz0f8aKTDaq7RikZRnss0NcuTQBvNPL1Fbpdp3jVgGJZr5qVPhtd4q9/F2XV1jPnvpQwq6RfzOs1Ch+dM9YACOe1tlPoa1Ipe+r47IuInZu6r1xul7yOR2GLSJHA4VJ2fqqqebUuE46eq0sP8pZuo9/lDufj9W5o4k5OfUN53dY03SjNs0pGd7CrxhFX3+Mgzjov31oKiMOKUF19WDkcLSsKOpdkTI7ulX/kzq1RYlOcyTaut9/lNBfS19x6M7R+kTggxHSoRSSSZTjqM63oTdlJP7NzbeCMObGuSxOGX2TBoDAATj+xgT4l8HhKlusYbFW0V5vhpbeJMTp5hpU4Nf0ChOM9FXnaWZWRuInOeeKmu8YallQcUhSXrvEwbXhI6b7pHzMQaP0i72LeRjh8dPRlKa+a4ECY9mVn1mliYhTHOv3GCaRtyXQ7DTjfX5YipCZQI1TVeNu9r4XuKQr/WZrz1zpgTLbOBwbNrDhBQFIZpFb0KysIrj5WVQV0dtLdDVlZsT77XC5dd1qXrk/RR8vJg7Nj0EHg+dkz9e8CA0KbTQSeu5pgpbGnEWzggoVWsRcu3RVmuSYe38/6wSWHbPho8jps2rWRIwzGG1x9mb3F0KfdZ48qZNrzE0G7NmaoKN1tpBOh9Os1t7SiEC+JbreIeqveZ2pZ7UlQGVVbckEiSRzqkSPUmknE/jcahmsbOzIUromyqWR/krfeFIlIXLd8WUxZBz46yYbRkZTPp8A6WnnN5opfSp9H6qsg+tDk7l/y2zoifWKXcQe2TH7xhgukCTuR5U+W0sONkNHt+Z40rT0obuoLd8YO0i30XmeqVJpgZm2Z/h+H+8eTD6rEKxzVrg5kRrmv2M2eqx1ZobzwsWr6N4y416qDY1xBqh5U+kdnAIFTR64yaznWovyruHPLWlwXFnoNpZWbC1IVul6qJ0otSvZwmYkxm2yVJoLIyPRw/uogfLY1JG7ppZVe1MqxxrWL5/fDkk5w4cTps84AzJxnUeCq0yqpR4+nU+Rl56lCUsDPAyq3HDe3WnKkelqzzhsL/zYb89T4/D1RvYO4L6+OugGhVxh0MUkGTgNXAUyKRSDIdvT2H8IqyRjbVqg/S9o13gSLgcLJpwFlMPGq/UqocG4VjVo2r2ZUbKude2NIYpe9jxj2Lay37aG+9j7nPr2fuC+vN5Ri6iJ00Li0dTP80KMCSdd6kjgUSQY4fJLHo844fI12YniDeTqsrHZBWMlOb1Cxavi2hjhNg8YcHaGptT7gtRhyq91HnVsWTi31nwrabEWtyOkgX8RNGedBDH0z3shSsPnFCjQzqJY6fGWcVx7VdkgQqK+HgwShB8W7n6FHIzqZ6d2NIO0FDn+oV9yrW3/8OX/oSd7/397DNWvWU3SPHh+WWby0fQZMrl2kHNzP09BH2FVdEHVK/qqvXGYol+KznmdX78Qfi02fQohdj2ZZkD6oyXT9AIpFIYqHZc0+RO8pp7/MHWPDyptDYvNlCA0Yv4B8vGwaNZsLRXTg6jPuRyO1S4yccsz4pMtUrsqJXV/B3KFF9eTL7YLPnSAFGzFtG5Q/foLrGy8qtxw2f21Q6WOzMV+X4QRKLPu34iSnk243E22l1pQMyu26zaJcitytKCEzDH1Co9/lDx5n7wvou37/BRW7q3f0BKGw5E7bdDDOxMo2KM+pE+0i/0vAvahE/QYFnS8FqrZR7L9H42XvSuCMw2y5JAprAc09H/Rw9CgMHsuiN7VHOk9O6VK94V7EO//FpAL6y5kVGnTgQ2j7p8HYCwsGcL90QttKLM4uPK8ZwzfZV5ATa2WMQ8QMY2uV4BjJ2rKUAivNcUdGLRrYlkmQOqszsXLroB0gkEkmyMLOddc3+0Bi1rtkfMyXXjp2OZMOgMfRr8zHy1KGoz/LafKz+9ReYs+Gt0LacrD49ZYrCrE9qzs4lT1fO3ZdXEJfwdiIkqw+O9RzVNftDEUepbEckduercvwgiUWftmLpFBIXy3GRTMyuW4joc2r6Pw/fNNHWsf0BhQUvb+pS++bOHktLQSHQGfETSzvILIVNWyQadOYE9bn98GXnhr5TXeONivjRG8ebN/yTha89zsLXHufxt34F3/ue+kEvifiRKwM9QLo4fo4cgYEDDX9rLSxbK8Nq2yY2NFCyaiXV51xGc3YuD73565DAzpQjO2gcdTY3XDQ6zJkSUBQ+GjyO8qZ6AMNUL6M2aIKSyUQBGlvaKcpzhUVCRqYlGOEQImlRo7LihkQi6SvYnZBayfcMLnJH2Wk7UfEfDxoNdFac1HPFrg8Z0FTHwcJOHbzWdmPphb6KmZNEH/FT2NLIlReezaKbJ1OcZ7y4nAyS5diw09/7A4rp85UqB4vd+aocP0hi0acdP+k08TVzXKQCM091XbPfVP+nqtJjaQgjj9MVqio9XDJDNVJFLWcMyymafW/VvCvYc/g5Vvn+pe4fHCxUnDmpVvTScf+LG3jtcLCtQcePZjSF0sGD//wd1219l8v3rOMT+2tgwwaYPBnGj+/S9aULcmWgBygpgWHDetbxc+gQrFwJ559v+FufycmjA0H/lqbOr9ixicuWkdPu5+nKa/npZZ/nwv0bqNr8NigK5x7ZSeGlFwGq0+a+59aHBjEfBXV+AOoqhpk3O9gGM0HJZODvUKhr9oetqD1QvaGzGpjbZbhyGVCUpEWNxlMWWSKRSDKZRCJ19OgntdoYcG+wvHuey3qKs6t0CM2uHEPHz/Vb3+VYfjEfDjkn4bb1drS+KhKfKwe3vxVQF5D+vr2BtftO0WKiWRoPLoeI6oOT7djQniMr12FAUaLa4XKKlDlY7M5X5fhBEos+XdUr3UryGams3/tcLUbzm64sdpuVL3YKYan0bqRkn2weqN7AM6v3g9LB/QiKfGcMyylqRKr7LzjbySf+8hf1w7Fj6UCNHBp05gRHCsLTvHz+AA9/eIJrIJTqpR1/8dP/pKDNx4/mzGXC9+/ulUZz7uyxzH1hfVi+dCo7LkmQoMBzj5Xs/tnPIBCA//ovZn3cxDOr94elQinCwZmcvJC4M9i0iUuWcKKglHWe8azzjOeWj//J91f8kR1lwyjxNcD55xs6bWoGq46fZlcOO7L644lhl80EJWPhdjloae8wtKdm+PyBsPtT7/PjcgiK81zUN/ujythq34kqMxwnsuKGRCLpC0SWli7Kc8W1eGg0qX2gegNPr94f87sdDicbB45i4pGdYQLT/VqbmbVrLX+b8kk6HKmJvM9Uqmu8YZW33AbOtSaXm3y/j6xAO/n+Frwi19bvEQunECy6ZTLQPaXIzeaIoKaFN7ZE6JumUAIqnvmqHD9IrOjTET+ZEBLnNskpNttuB7OVcqsVdG2S6vMHYobQJuqT0jprBXXyeTq3XyjVyyik0Sjndcejv0NxOGDaNPjqVxlzfB8AFQ0nOFwQLVJ74IwfCgvDxHarKj08e57qE/3+g5/t3QY08ieX2oWpp7ISZft2/u/vH3S/vtjx4/Db38Kdd1J9Oocl67xRP7kDtaR7/xbV8WPLJjY1wauv0nDN9WQ5nSjCwQOz/5MSXwO//MdCAN4uGMaClzdFOW1O5RWyu3gw+4oqGFycF9Mumw3EYuHzd/DorVPiXl2OvD/+DoW87Cz2LLyODhObKdMlJRKJxB564f68bPvr0Z5gipee6hqvunhokw2DxjDh2O4wIecrd64hJ+DnlXGXhO3bP6dvO4Gqa7xR1TF9BlE8Plcuef5WCoNjCDvl3O0QUJSQU0Nf6CEZY3Qj4eS5s8caioq7nAJFUccCevwdSsqkQjJhvirJDPq04ycTQuLMyrmbbbdDvGW89Q4WiC0snajv4Nk1B8L+X+cuoKjFvKpX1Mq/onDdhhWsPWsKLF0KBQX8tvphiptPU95cz+GIiB8IesvLykIRP6Be73O/fhFfVg6XLj3S4+UZU8Wi5du6teOSBKmsRCgKw73hZWS7RV/s0UehpQXuv980cqYwz4Uvr4DC1ib7NvG118Dn46xvfJ7soFN608BRPHXe9YysO0yrM4u52xTTldyHZ32JX17+udDKnVna65QFbyR86VpEY2QZ4UTw1vuYuXCFqa2T6ZISiUSiEk/1XLuOfbNJ76Ll2+Iag24YNBq3v5VRJzvHn9dvfZdDBWVhacgADa2pi3bPBBYt32arOmZzdg4AAxtPAdgu5x4LbY6S7GrMD1Rv4N7FtVELcQCLbplMka7wTXGei0U3T+a0z3gsk6pFn0yYr0oygz6d6gXpHxKnDz+N3J4o8Ub8xJtaYVcLKNb5T+cWUOQzr+oVaWDP825l2Omj/GLmZzi/ogL+/ndGXHElv3vpR0B0KffQwOEf5aGIH83J9Zd9W9k4cBT7z7SFOoB0fk4SwWyAlWhEhcQmQYHnCcd28dGQcL2olEaK1NXBL38Jt94K48ZxqH6X4W71zX7OHjeUs/1+PjHvCnvHfuEFKC/nH/3OoqltY2jzzy+5i2u3/ZtD/cs53mb+9RVnX8gjt04OvWOaXdYiDe9ZXGtqC+2i2Re9zden2xW6XTS1tdsu+272nshVOIlEIlHRxlTaGFKr/jp/6SZO+/xhqTrVNV5LO6995rFI74l3/LIhJPC8k+3lI+jf0shluz/iL+ddhyL69Np4FHbHJ00udaw+KFhNN1nl3AOKYvg8dWWMrkWIGZVmv++59XQoCoOL3My/cULY8Rct39btUiHpPl+VZAbSqqU5Zh1gVyZARRZl242IdzI6a1x0SpUdIiOO6twFFPsaTI8baWCrNr9NS1Y2H58/S91w+eX87LLPccHBzQBR4s4hb3lZWcjxs2j5Ntpa25hwbFdoQNBTld5STbyRX5IkMWQI9Xn9mXB0d9RHKY0UefxxOHMmVJ3OUty7qAjq6y0Pp626jbvvRZpfWsqeS67mp2+FO5Mac/K49TM/4e4b5loeq787i3sX14at3kVGGnY1C1HvkNbafs/iWo6cbkEBzrS0h1Xr8BS5Y4qDRiLAlhC9RCKR9AWMFg79AYV6nz8qzdkqWqc4z8Wjt01hb4z0nnjHL7tLPDRmu5kYFHi+ascasjvaeWX8pXEdpy9gd3zic6nVcyuCjp+G3ORE/HiK3Emvxmz1zFkVbZCpV5JMRTp++iBm/aLZ9ngnoyu3Ho+9kwF3TB8a9n811atTYPaV9YfDPtc7grIC7Vy/9V3eHD2d6VNGhLb/5oI5vDl6OgBeXVlO0K0OlJeHUr0O1fsYdfIAef5WPq4YE9q3N2p2JKL1JEkCQtA2cTKTjoU7SVI6aGhogF/8Aj71KZg0CYgxcCkqUiOETNA7ZS7ZW0Nem4+Hcs8xXAHbX1zBgaJBpo5lIKqSll5TLBkICN1bs9RV/d/afTDSL7BCIXH7J5FIJL0NO2MnbeJutW/ND6625VCPd/yiCAcbB45i0uGdAFy/9R0O9h9AbcXZcR2nLzB39ljDqpaRNGWrjp9BZ04CyUn10vrkZFdjtvu9SOeSTL2SZCp9PtWrL1JvorNhtj3eal6JGuCHqlQdD039X0316oz4qY/IqdVPsC7d8xElvgaqJ1zOVv3ESwjuvuG/uGjfx+wpMTHIWsRPMKRz0gZ1AKBF/EDv1Oywqu4mSS0DLp1B2aOPMbxfFvsb21Nf1es3v1EdOQ88ENoUWU0lrA3FxZYRP3qnzDXbVlGXW8C/Bk8wfaaK3C7m3zjBlh3x+QMseHmTqT1KBIXw67XThkXLt1lW9TCjNzqJJRKJJBHs2lCtDzLa11Pktl0F06wqpBUfDxrD5z96hdKmei7eW8sfp33KcCU0URmD3oJ2v/VVvYzQIn40x09XU72EgJwsB/curjWspAmJj9Hj6eO99T5GzlsW9vxJR48k05ARP30QyxQPAzTPdnGe+Yq9nePYQXP+gBrxU9DmwxUw7mD0xrpq89uccvfnnZHnRRnx5mw3/xwz3fykZWWq4G1zM7PGlTPxyA4as93s1jmKEk1fS2dkxE8PUlmJo93Pvx7/LHue+gqrfnEnVddOg29+k7jqjduhuRkeeQQ++Um12p0O0+oYRUVqpS6/tYBhdrufT+xYw5tjptPuzApFy+hxu5yh/PiHb5poGfmjUdfsp8imvbGDU4iQEKTdQd6hep9hVJTLISxXPXujk1gikUgSwciGGqFNpo36j1njyqMquJpVwbR7Pj0bB40mJ+DnW+8vxtURMEzzkmk8KlWVHmp+cDV7F17HY7dNMdyn2aWKO2saPw05iTt+XA5BlkOEUgONxqdd+W3i/V63VmGVSFKAdPykOfGmZdkhkdxUzdg/dtuUUGhjcZ4rqtRhMjpHzcFU5+4PECoJGel40s6c39rMVTvWsGzcxfid6j6aVogtHZvyoFPn+HFeWX+YSYd3snHgqDBhv8g0s96A2epVX1/V6hauvx7uvRc+/Wm48Ub1zwUXwK9/Db/6VXLP9cwzaipjUNvHFsXF6t8mUT+ac2Pmvlr6tzXz6tiZQGe4s1FFrpkLV3Dv4lrOtLTbaoKi2Bexz892Wkaq6XP17R5zcLBUcOT1LLplMotunmzoCJeTA4lEIukk0oZajRvN0mdWbj1uW9clsnKjHT4ORnffWfMae4sq2DhwVNjnTiGkdpsBVZUe8rOjnWzN2eq9rzhzAr/DiS/oCIokVnR5nstBv9wsw4ILTiGSkmJVVemxtRgVSW/V/pT0fmSqV5pjtvjflaAAyxQPG9/V72c3/DYeHrxhAnNfWB+qwjW0/iin+5fw4A0TwvbTbsHsHe/jbm+l+pzLQ59pHnlbUS1lQdHnEydobPRxzrHdPHXe9WH7R6aZ9QaMUvjkxLWbKCiAn/88fFtHh6rB893vwvTpcP75yTnXE0/AxIlw8cX2v1NUpP5dX9/pGG1tVVPG9u/nmb1H2LzNy9gju2jIyee94VPCBu+RNkL/nNmNKDsdXOGzQ3NbgD0LrwudT7NJRmHhdo6pfw/Mwrn1VceSaf8kEomkNxHPuNHI3t67uNbwuGZptdoxRsxbZqt9+4oraMjJp39rE6+MvyRqZTWgKCxZ52Xa8BJp3yP40acnMveF9WHOmeZgqtfAxpNqmpeJg6dDUXjstincu7jWsF8uzs8x/Y07FCXU53cVozR0l1OQn51lOQ6Rad2STEQ6ftIcs3zlrkZlJJqbatRhr7Jb8jmOtgH89e/1AFzYeJDP33y7aXurNr3NgcKBrPOEl8b2+QOmmiNh908X8XP2if3kBPxh+j69la44ACUpwOGAp55Sy73feit89FFn5E2ifPQRrF0L/+//xRcmqHf8aDzyCHz/+5Cfz4iCAsqy3RzMzePxybMJuLJp062ARZY9TUSkWYsqspOapU+v0tu2kTYH/nqsSgVHInP8JRKJJD7itZtmOiyx0mrNxn+RKMLBhkGjmLnvY5aNM14g0SI8pL0PRz+O1H4jLdWroM3H8XzzMYz2+1k5VhL97eMh1ljYLEVcpnVLMhHp+ElzkhGVkaxV6ciVey2qBki4MzRrW1Wlh6opd8Dv/pP/rmgFg+PnuRzk151k5r71/HrGLYYTW01zxPL+6SJ+ZpxUKy3pK3pBdJqZRNJVTN/LxYvhkkvgi1+El17qWl7nE0+A2w133RVfGzSHk1bZq74eFi1SU9RefhmAfsDWGi/PvLiBgIVNSGRVTP+O2hGEbm5rp7rGG2WHzAaNQhhHTQqBdH5KJBJJkunKODTRcfAd04eGioXEYun4y2jMzmNr+UjTfeIVje6tRP6WkRqYWqoXWJdy99b7TKO5gNCxn1m9P8w5lIrIdCtnpIyOl/QmpOMnzelqVIaZs2btvlOs3Ho8rmMardx3ZRUkpiNJCJg8GWprDb+f43Jy5c41OJUOlhqI8YG6ej9rXDnPrjlAQFGMc7V1jp9rWr2czslnX1FF2HGumxT+/95AKhx5EntY3vsZM+CnP1VTvh57TNUCSoQzZ1R9n9tu64zgsduGyIifn/9c/ff//V/YMezYhFhVM7R31MoeRQ4yX1l/OCz9sq7ZH/XsVtd4aWqN1hNyu5wIFJoNSrUrCvIdkEgkfZJUpa52dayR6DhYKxYS6TgwYvHk2SyePNtyH1nv1Pi3jHSuaaleEFvY2ex3cTkFs8aVs2SdN2wfAd2utySj4yW9Cen4yQC6kk5gNjHTd4R2O2GzlftE81xtOZImT4Y//UnVP3GEa5HXN/upPLSNU+7+7CgbFnV8l6Oz49DCfQ1ztQsLISsLjh+nYON6Ph40JirKQl86vreQbEeexD4x7/0998A778B//zfU1MCdd8KVV6rPqV2efRYaG+HrX4+/DZ8NrmTV16vC0I8+CrfcAlOmhO1v9u57633MXLiCubPHGq6Waeh1gcwwsn8rtx6P0t3S37/IwalGcZ6LB2+YYLnKKN8BiUTS10jlQlAyxhqJjoMfqprIso8PW5Yft4usd2ovdTvgcNLqdJET8NMQUcq9OM9l77dQYNnHh6POpdAz43GZ1i3pLciqXr0cs4lZZAdmR6E+3jLwsbDlSJo8WS0rvXu34XmnHN7G+opoRw1AB8YdR9S1CqFG/Rw8yFlH9rChIlrfpzeKuCXbkSexT8x7LwT8+c/w5S/D0qVqKfYhQ+Duu2GbzUoSmqjz9Onxt0Gf6vXTn6ol4RcsiNrX6t3XTxzmTDUeMCVaGSPW/TMbnOZlZ1FV6Ylps+Q7IJFI+hJWzpmu0tNjjWQ4fSQqdn8zLeqnISc81cvub+HvUEz3lf2zRJI40vHTy4nHKRPLmCZSBj6RtoVtnzxZ/Xv9+qj97r/Yw5gTB6itMD5/IJ6Oo7wcVq4ku6Ndjfix2dZMJtmOPIl9bN37wkL47W/hyBFYsgRmzlT/f/75sHKl9QnWrVP/fP3rphpBlm1wu8Hlgi1b4Je/VCOOxo+P2tfIJujx+QMseHkTS9Z5TfdJZBAX6/7FmmjEard8ByQSSV8ilc6ZdB5rxJO+ZVS6vK9h9zfTHD+nc61TvVLZBolEEo10/PRyjCY4Zh1dLGNaVenh4Zsm4ilyI1C1OR6+aWLC4Y9WjqTqGi8zF65g3LP7CQgHj//8BUbMW8ao+1/lgWo1iuB6/yEcKBwcc27c54661mDED8COIeGOpN4q4pZsR57EPnHd+9xcuOkm1fmzaxcMG6ZGAL34ovkJNFHnO+9MrA1CqLpAf/0rtLfDgw8aHkNvE8yoa/ZbhoYnMoiLdf+KTMTYtXNp7S5yR+/ncgqaWtsZOW8ZMxeuoLrG3GklkUgkvYFkOWeqa7xU/vANRsxbxoh5y5iy4A1mjSvv0bGGkZ3Xtt85Y5ht54/LKadMsRZNNJqzgxE/FuLOsShyu+QYVSJJMtKK9XKMnDV3zhiWsDGtqvSwat4V7Fl4HavmXdGlnFczRxKoAqveeh8trhx2lQxh/LE9gKrR8/Tq/arzZ80aAB752dcsz2PrWjWB57IyLryiEmcwSsJQDLqXkGxHnsQ+Cd/7IUNU7Z+pU1XNnd//PnqfM2fgb3+D2283FHW23YbiYlVb60tfglGjLI+zat4Vls4fM2LZHc0BHOmEsWp7dY2X0z7jSD999ZGqSg+1D17NY7dNCR2nOM8FCtT7/Ch0pqtJ549EIunNJGMhqLrGy9wX1odFWtf7/Cz+4ABzpnp6bKwx/8YJuBzh7h0H6vrGM6v3U5TnsuX8MetX+hJGfe9dM4ZF9f9mqV52cbuczL9xghyjSiRJRoo79wGMRMmmDS9JC4V6o7bNXLgiLEJgy4CRTPVuDtvn2TUHeGjbBzB6NJSWUuR2RYm9grpiMP/GCbGvtVydEB49+1yWfHTIWgy6FyEF63qOhO99SQm8+abq+Pna18DrhWuu6fz89ddVUeevWTtEY7ahqAiys+GBB2w1y6zkaU6Ww/DddAphOYiLJTZq1vZFy7fRYaLCaSQKqT/OzIUrotJDpdizRCLp7SSjctGi5dvwB6KNr79DYeXW46yad0XS2hsPkddW6HbR1NYesvV1zX5cTmHYdj0yxUjFrO+duXBFqIKnz5UD2E/1KnK7EEIt2hL57Mm+VyJJHtLx00dJ5wl/ZE75lgEj+dSWf9G/pTFUISCgKGrEz+WXA+qKzncX16Iv0OwIbrd1rcGIn9dyhshKV5L0Jz8f/vEP+MIXVNHlCOHlHRWjuPqlEwx+e0XiTt1vfQtaW2HoUMvd9CWAi/Jc5GQ5OO3rHLwBhg6hWE6f+55bH3LAath5F600KWLpVSRT5yJVpZElEokkFXR1XNgV2xsPZra1usbL/KWbQgsNWhXHyIWCmQtXRC1GxHL6uBxCphhZUF3jDTl9AJqyVSeZ3Yif2gevTkm7JBJJONLx00dJ50lJUUS5xy0DRgIw/tge1gxTU8EqGk/AoUPhFYsE4eXK4lHtC0b8rCoeYfixV1YRkKQbLpeqwfONb6gRPsB7u07w51V7qS0ZjiKEZUnemDbgs5+N2YTIqJy6Zj9ul5NHb5sSdT679kY7ZqTTRyPWBGJwkdv0fY21Ymv23UR0LlJVGlkikfQ90nnMptEV22sXM9u6dt8pFn9wAL8u3LOu2c/cF9TCIPp7lYgTqt0sjFTCA9UbeHr1/rBtPi3Vy2bET3WNN+2eZ4mkNxJT40cI8SchxDEhxEbdthIhxJtCiB3Bv4tT20xJMtE6Tm+9Ly11LFojIm426xw/Gucf3aH+I+j4mb90U1R6R4eibrfFtGkwYgQ1Q84x/NhpUhlJ0n1IW2SAwwGXXKKmel1zDXMbPbwx/DyOFZSGdjEqyZssG2C3BHA82mBmpdg1Yk0g5s4ei9Nh/L7qNX7MvpsMMclUlkaWpAfSHkm6i3Qfs2nMnT0WlzPa9iYzWsbMtj67Jtzpo+EPKFF216wPKc6LFhPWUIDvvfhxYo1OMT1pi6prvDwT4fQBaIqzqlc6Ps8SSW/Ejrjzn4FPRmybB7ylKMoY4K3g/yUZQrpPSpr9HWH/P55fzPG8ojDHzzkHtqoRD8Fy70YaIlbbo5gxA/bs4YS7v+HHZtEHkm7lz0hbZIndVKVk2YBUlAC2+q6AmBOIqkoPBTnGwaxGGj+R302GmGQqSyNL0oY/I+2RpBtI9zGbRlWlh0U3T1ZF8oMUuV0sumVy0qI5zGyo1Rgt8jtmDv4Hb5gQKjBiROTYNI34Mz1kixYt34bRnQ9V9bKZ6pWOz7NE0huJmeqlKMo7QogREZs/BVwe/PdTwNvA/ySzYZLUkXGTEiHYMmAk5xzbHdp0wfGdMGWKWuo6iXhMQpUTqVgkSS7SFsXGbqqSlQ2IJ6UgWalRdo4J6qqrnQmEWfUVOzYuGfpnqbgvkvRC2iNJd5FJY7ZU60ea2VanEKbOn0i7q7VvwcubQrICOVmO0Gf3LK5NYotTT0/aIrNnUKvqdSaOql7p+DxLJL2NRMu5D1QU5XDw30eAgUlqj6QbMJt8pMukpMjtitq2ZcBIzj6xH2dHgBw6mHhkZ5i+T57L+FE2226GUaiyyylF/dIYaYt02E1VMnvXC92uuFIKkpUaFXlMs8RKuw7YWDYuskz8A9UbDMvGJ0oq7oskI5D2SJJ00n3M1p2Y2dY7pg+NKtmu0dTaHrLpmu2/Z3Et9RFl57W+ziyzP8My/rvFFpk9gy9OuIL5V36Ntqzo8Xy8x5JIJMkjUcdPCEVRFDCM9ANACPE1IcRaIcTa48etw+wl3UO6T0rm3zghqgPfMmAkOQE/Z508yOiTB3A1N8EFF4Q+zzHJyzbbbknk0yyzvDICaYvspyqZ2QAhiCulIFmpUZHHvHPGsCjnTzw2ysrGGellPL16f1L1M1JxXySZhZU96gu2SJI80n3M1p2Y2daHqiay6JbJhguHmlPngeoNIdsP0S+n1tfdOX2Y4bnNtqc7qbRFRs8mwK6yofx52o1xHSuWBp9EIuk6iVb1OiqEqFAU5bAQogI4ZrajoihPAE8ATJs2TU6h0wBt8pGuFSL07dM66JDA8/E95Prb1B11ET/6lRs9ZtvNWLR8W5RAoL9DkeXc0xdpiyKwE2pvZgPuNQlxtwrBTkVo/0NVE5k2vCRhG2Vl42YuXGEpHg32ysbbaYO0GX0OW/aor9giSXJI9zFbd2NmW7XtMxeuiEoH0wSgY+k1Hqr38VCVqvOj7e8UgjumDw1tzxC6xRYZPZuzxpWzcutxDgUXU+wSS4NPIpF0nUQdP0uBzwMLg3//I2ktknQL6T4p0do3ct4yFGB3yRBanVmcc2wP/VsaOZ2TT+GYMaH9k6WpkUm59BJA2qKEMbIBemernp4Iwe6qjTL7vt13Wb7zkgSQ9kiSEtJ9zJZOJCIAraH1dQ9VTcw0R08k3WaLrJ5NIyecGbLPlUhSj51y7s8C7wNjhRAHhRBfRjUkVwkhdgCfCP5fIkk6Wifc7sxiR9lwzjm6m8pD29g6bHxYwnWytHlkLn360ldtUaQeTSpLnqZ7SkEy7oXdd1m+8xIr+qo9kkjSEX3f4DAR43HGEOnR93Xd2e92lXSwRWb3yywVzAjZ50okqcdOVa87TD66MsltkUiimDWunKdX7wdgS/lIPrFzDf1bm3jn8tnROydBm2fu7LHMfX59WLqXyyHFndOBvmiLND0aLTVJ058Be9Wt4iWdUwrs3As7Fcnmzh4bdhwj0snZJUlP+qI9kkjSkci+wSiyx+1yMmeqhyXrvGG2X6AOFT26/qK6xhs2DvTW+5j7/HogNf1uV+lpWxSrb1677xTPrN5vOSSXRVQkku4h0VQviaRb0Of8bhkwkls2/hOAZXnDmAU8UL3BNG87YW2eyEWhzKrkIOlFLFq+zVRsOVUD0FSkFNhxyMTaJ9a9sOski6VJkE7OLolEIulr2Okv9Bj1DaBG+HQoStgxrLTjtKgVo9Qkf4fC/KWbZL9ggFnffM/iWu4x0Q3Uk+dy8OObJsl7K5F0A9LxI0lr9Dm/mweODP17Zf8RPFC9IRQNZOf7dgYTi5Zvwx+IEHcOSHFnSc+QSZpTZu+X3Ugdq32qa7ymOgHavYjHSZZM51a8kxSJRCLpLSTb/pn1BWv3nTJ1zpv1hx2Kwp6F10W11VvvwykE3npfWMXKWJGg9b74ioX0Fbo6HinOz5F9pkTSTUjHj8QWPTW5KXS7Qp3t5gFnAbC/cCCB0jKeWWPt9IHOnGG70QBmk0u74nQSSTJJlmh5oth9763eLzsOGat9gFCYvRHavegJJ1l3p+JJJBJJupAK+2fWF+hThSLPY6efNEsH09K42hUFG9rPEgPM7r9d5PhaIuk+Yoo7SyRah+kNlmbUOt3uELvTa/E15PZjV4mHD4aeixDE7KT1Oh2xJpYaZuJ/sUQBJZJU0JNiy/G891bvlx2HjNU+i5ZvC9Pc0iMgdC96Qpjdrl2RSCSS3kYq7J9ZXxDZA4QtDNjoJ83SwUBN47Lj9CnOc8XeqQ8Sj4CzEXJ8LZF0H9LxI4lJT05u6pvDQ2vvuP3HLPjE16K2R+IpcvPwTRNjhgJHbjcr92mnDKhEkmyqKj08fNNEPEVuBNHPdSqJ5723er/sOGSs9rGK2FHoXFnuCSdZJqXiSSQSSTJJhf2Lx1GvncdOP9lVm+xyCh68YUKXjtFbibz/8SLH1xJJ9yFTvSQx6cnJTWQI6bGCUkDt2OuaWmn2d0R9J8/lYNW8KyyPo9+ux2Oyn0eWmZT0EKkQW7ZDPO+91ftlVEUr0iFjtY+myWCE/r3siYpkPZ2KJ5FIJD1FKuyfUV+gVd6yOk+sfjKRdCSjil8SY/T3347+ph45vpZIug/p+JHEpCcnN3Nnj2XuC+vDBJf1ZR+/+1wtkVkgzf4OZi5cEdZR25l8xrOfRNIb0Wv6OIQwXIkzeu+t3hs7DplY++hL62oYlX/tTidZdY2Xptb2qO3SXkgkkr5AKsZLZlUXI8uwu5yCptZ2Rs5bRqHbhRBqhLiZw9+orVY4heCRWydLZ0+cVNd4w6rxxkL2lxJJ9yIdP5KY9LgzJHLuGfy/foDgrfeFrQpFiv/ZjQboiagBiSQdMBO/1GP23sd6b+w4ZMz20bbNX7opJPRenOfiwRsm9Nh7GXmvNHq6XRKJRNJdpGq8ZNQX6MuwF+W5aGxpD/UH+mpbZgLTkeNFZ3Bho8jtoqmtPWxx0e1ydltKdW/CqF90OdSRuUFwfrCMu7zPEkl3Ih0/kpj0pDPESNjV32FcXt1M/C+eyWc8+0kkvQkz8UunEHQoiuF7313V/lJVft3OSrERZvcqLztL2g6JRNJn6K7xkv48MxeuoM5C5zFy7Gd0DD0PVG/g2TUHCCgKTiGYM9XD2n2nuO+59aFtd0wfykNVE5N7Ub2I6hpv6H7p8XcomGk3yzLuEkn3Ix0/krTGqrx6dY3XMAXEzvclkkwn2U4XM02fDkVhz8LrDM9vVMp37b5TrNx6PC0j5iLbbGel2Agp6iyRSCQ9gx07a9cWV9d4WbLOG3JYBBQlSp9Gv006f6LR+lUzkWYz7WY5PpdIuh9Z1UsSk54s525VXn3+0k2WTh+r70skmUwq3sl4y6GbVf16ZvX+HrEVdrAq6Qv2qxX2ROl4iUQikdizs3Ztcaw+Qc8za+wLFvcl4rmHeuT4XCLpfqTjRxKTniznblVeXb9aH+/3JZJMJhXvZLzl0M1WVM1SLtOBZK0U90TpeIlEIpEY21898djieKI05XDSmEQjXeX4XCLpfqTjRxKTnkxrMCvzaLf8oywTKemNpOKdrKr08PBNE/EUuRGo746VwGU80S3pkgKVrJXieO+VRCKRSJJDpP0tcrsoznMlZItllGbXSfQeyvG5RNL9SI0fSUx6upy7WUWxBS9vshT4kyvwkt5Kqt7JeIQ6jd5NfWW9ZLQr2TpGsUr6xmMzpAi8RCKRdNJdYv+QPPs7d/ZY7l1ca9hvRZLnkmvlRsTqV40Qwe9JJJLuRVoxSUx6Mq3BamX9ukkVpt+TK/CS3kw6pBoZvZt3zhiWtHalQscomSvFEolEIlHpSS3IrlBV6eHOGcOIpTbjEPDjmyZ1S5syDa1fLXK7bO0vgDtnDJN9rUTSA8iIH0lMerKcu3Z+o3Ot3HrccH9PkZtV865IdbMkkh6jp99JfTsizzlteElS2mWlY9SV65SROhKJRJJcUmWvu4OHqiZG9VuzxpWnbXXKdKSq0sOi5dtMtTedQhBQFDzyXkokPYp0/EhskY6TJVlSWdKXScd3EpLXLvl+SyQSSWaQ6fY6XfvTTMLstxbAroev7d7GSCQSQ6TjR5Kx9KT2kEQiSS1W73d3aklIJBKJxJreNh6TfUz8mD0DhTZTwCQSSeqRGj+SjGXWuPK4tkskkszBTMdo1rjyjNSSkEgkkt5KOujOJYtM1SvqaebOHovLEa2W1NTWLu+dRJImSMePJGMx0/gx2y6RSDIHM2H3lVuPm2pJSCQSiaT7sSrEkWlY6RVJzKmq9NAvNzqRxB9Q5L2TSNIEmeolyVgyPadcIunN2A2Vt9rPSHfh3sW1hueT771EIpH0HL1FJ0eOLeOnusbLgpc3UddsLO4s751Ekh5Ix48kY3G7HDT7Owy3SySSnkMLlddWTbVQeSBsYmB3Pz29TUtCIpFIJOmDHFvGR3WNl7kvrMcfUEz3kf2zRJIeSCsmyVh87dEds9V2iUTSPdgNlU8kpL43aUlIJBKJJL2QY8v4WLR8m6XTR/bPEkn6ICN+JBmLYtLPmG2XSCTdg91Q+URC6rVIIFlxRSKRSCTJRo4t4yNWGlemaj1JJL0R6fiRZCxOIQgY9MROEV1VQCKRdB9207ESTdvqLVoSEolEIkkv5NgyPsz6cVBFvmVfLZGkDzLVS5Kx3DF9aFzbJRJJ92A3HUumbUkkEokknZBjy/iYO3ssLme0U8zlELIvl0jSDBnxI8lYHqqaCMCzaw4QUBScQnDH9KGh7RKJpGewm44l07YkEolEkk7IsWV8aP21vqpXkdvF/BsnyL5cIkkzhNKNSavTpk1T1q5d223nk0gkyUcIsU5RlGk93Y6uIG2RRNI7yHR7JG2RRNI7kLZIIpGkA1a2SKZ6SSQSiUQikUgkEolEIpH0UqTjRyKRSCQSiUQikUgkEomklyIdPxKJRCKRSCQSiUQikUgkvRTp+JFIJBKJRCKRSCQSiUQi6aVIx49EIpFIJBKJRCKRSCQSSS9FOn4kEolEIpFIJBKJRCKRSHop0vEjkUgkEolEIpFIJBKJRNJLkY4fiUQikUgkEolEIpFIJJJeilAUpftOJsRxYF8SDlUGnEjCcboT2ebuIxPbnUltHq4oSnlPN6IrJNEWxUum/M6yncklU9oJmdNWrZ0ZbY9MbFGm/AZ6ZJu7j0xsdya2GeJrd2+0Rakm3Z8L2b6uIdvXNRJtn6kt6lbHT7IQQqxVFGVaT7cjHmSbu49MbHcmtlkSP5nyO8t2JpdMaSdkTlszpZ2JkInXJtvcfWRiuzOxzZC57c4U0v3+yvZ1Ddm+rpGK9slUL4lEIpFIJBKJRCKRSCSSXop0/EgkEolEIpFIJBKJRCKR9FIy1fHzRE83IAFkm7uPTGx3JrZZEj+Z8jvLdiaXTGknZE5bM6WdiZCJ1ybb3H1kYrszsc2Que3OFNL9/sr2dQ3Zvq6R9PZlpMaPRCKRSCQSiUQikUgkEokkNpka8SORSCQSiUQikUgkEolEIolB2jp+hBCfFEJsE0LsFELMs9hvjhBCEUKkhSp3rHYLIb4ghDguhKgN/vlKT7Qzok0x77UQ4lYhxGYhxCYhxN+6u40G7Yl1nx/V3ePtQoj6HmhmFDbaPUwIsVIIUSOE+FgIcW1PtFOSfIQQzuDv+kpPt8UMIcReIcSG4HuztqfbY4UQokgI8YIQYqsQYosQ4sKeblMkQoixOjtUK4RoEELc09PtMkIIcW/Qvm8UQjwrhMjt6TYZIYS4O9jGTel6LxPF7rinJxFCDA32Udp44O7g9hIhxJtCiB3Bv4t7uq1GRNphIcRIIcSa4D1fLITI7uk26jGyc5lwr43sSbrdayHEn4QQx4QQG3XbDO+tUHk82PaPhRDn9VzLMxszG5JupPOYLUPGP2k1pojnfU+j9i0K/sYfCyFeEkIUdfU8aen4EUI4gV8B1wDnAHcIIc4x2K8AuBtY070tNMZuu4HFiqJMCf75Q7c2MgI7bRZCjAHuB2YqijIBuKe72xnRnphtVhTlXu0eA/8PeLHbGxqBzefjAeA5RVEqgduBX3dvKyUp5G5gS083wgazgu9OWjjTLfgF8LqiKOOAyaThvVUUZZvODk0FmoGXerZV0QghPMB3gGmKopwLOFHtT1ohhDgX+CpwAepvfr0QYnTPtio5xDF+6GnagfsURTkHmAF8M9jOecBbiqKMAd4K/j8dibTDPwEeVRRlNFAHfLlHWmWOkZ1L63ttYU/S7V7/GfhkxDaze3sNMCb452vAb7qpjb0RMxuSbqTzmC2txz9pOqb4M/bf957gz0S3703gXEVRJgHbUefiXSItHT+og7qdiqLsVhSlDfg78CmD/f4PtSNp6c7GWWC33emEnTZ/FfiVoih1AIqiHOvmNkYS732+A3i2W1pmjZ12K0D/4L8LgUPd2D5JihBCDAGuA3rU0dtbEEIUApcCfwRQFKVNUZT6Hm1UbK4EdimKsq+nG2JCFuAWQmQBeaSn7RkPrFEUpVlRlHbgX8BNPdymZJER4wdFUQ4rivJR8N9nUCccHtS2PhXc7SmgqkcaaEGkHRZCCOAK4IXgLmnVbgs7l/b3mmh7cpg0u9eKorwDnIrYbHZvPwX8RVFZDRQJISq6paG9DAsbkjak85gtg8Y/aTWmiPN973aM2qcoyhvBsQ7AamBIV8+Tro4fD3BA9/+DRBiFYJjlUEVRlnVnw2IQs91B5gTDtl4QQgztnqaZYqfNZwNnCyFWCSFWCyEiPZLdjd37jBBiODASWNEN7YqFnXbPB+4SQhwEXgW+3T1Nk6SYx4D/Bjp6uB2xUIA3hBDrhBBf6+nGWDASOA48GQzF/oMQIr+nGxWD20kPB3QUiqJ4gZ8B+1EnaKcVRXmjZ1tlyEbgEiFEqRAiD7gW6Ok+NFnY7tfSBSHECKASNep6oKIoh4MfHQEG9lS7LHiMcDtcCtTrBtbpds/N7Fxa32sjewKsI73vtYbZvc249zMTiLAh6cRjpO+YLe3HPxk0pkhrWxrBl4DXunqQdHX8WCKEcAA/B+7r6bYkwMvAiGDY1pt0ehrTmSzU8NbLUaNnfp+MPMNu4nbgBUVRAj3dEJvcAfxZUZQhqJOavwafd0mGIoS4HjimKMq6nm6LDS5WFOU81LD2bwohLu3pBpmQBZwH/CaYFtlEmqU76AlqWdwIPN/TbTEimNf+KdQB5WAgXwhxV8+2KhpFUbagRvm+AbwO1AKZYtt7FUKIfsAS4B5FURr0nylqudi0KhmbYXZYI6adS9N7HWVPiE5hSHvS8d72JqxsSE+SAbYi7cc/mTKm0JPO77sQ4vuoKZLPdPVY6Tqh9BK+ijckuE2jADgXeFsIsRc1R3Sp6HmB51jtRlGUk4qitAb/+wdU3YeeJGabUVc2liqK4lcUZQ9qnuGYbmqfEXbarJFOq+x22v1l4DkARVHeB3KBsm5pnSRVzARuDNqqvwNXCCGe7tkmGRNcpdHSOV9CTT9JRw4CBxVF0VYJX0AdCKUr1wAfKYpytKcbYsIngD2KohxXFMWPqol2UQ+3yRBFUf6oKMpURVEuRdUJ2d7TbUoS8fRrPYoQwoU6YXtGURRNP++olvoS/LunU8IjibLDqDoZRcFUBEi/e25m59L9XhvZk5mk973WMLu3GfN+ZgImNiRdSPcxWyaMfzJlTJHuthQhxBeA64E7g86pLpGujp8PgTFCrQCQjTp5X6p9qCjKaUVRyhRFGaEoygjUvLcbFUXp6So0lu2G0IOlcSM9L8gVs81ANWq0D0KIMtTUr93d2MZI7LQZIcQ4oBh4v5vbZ4addu9H1QJBCDEe1fFzvFtbKUkqiqLcryjKkKCtuh1YoShK2q18CCHyg4L5BMOGr0ZNrUk7FEU5AhwQQowNbroS2NyDTYpFuuiMmbEfmCGEyAvqnlxJz/dNhgghBgT/Hoaq79PjVSaThK1+racJPh9/BLYoivJz3UdLgc8H//154B/d3TYrTOzwncBK4ObgbmnVbgs7l9b3GmN7spk0vtc6zO7tUuBzQmUGaurKYaMDSKyxsCFpQbqP2TJk/JMpY4q0tqVBaZX/RvVxNCfjmFmxd+l+FEVpF0J8C1iOqgT+J0VRNgkhfgisVRQl7QZDYLvd3xFC3IgasnUK+EKPNRjbbV4OXC2E2IwaVj9XUZSTad5mUA3235PhIU0GNtt9H2oq3b2oIYdfSJf2S3o9A4GX1D6aLOBviqK83rNNsuTbwDPBSfJu4Is93B5Dgk60q4Cv93RbzFAUZY0Q4gXgI9S+qQZ4omdbZcoSIUQp4Ae+maailnFj1j/0cLOMmAl8FtgghKgNbvsesBB4TgjxZWAfcGvPNC9u/gf4uxDiIdTn/o893J5IjOycgzS+1xb2ZBlpdK+FEM+iLmqWBXUVH8T8OX4VNf1+J2p1xrTsbzIEQxuiKMqrPdekjCOtxz/pOKaI831Pl/bdD+QAbwbH5qsVRflGl84j55QSiUQikUgkEolEIpFIJL2TdE31kkgkEolEIpFIJBKJRCKRdBHp+JFIJBKJRCKRSCQSiUQi6aVIx49EIpFIJBKJRCKRSCQSSS9FOn4kEolEIpFIJBKJRCKRSHop0vEjkUgkEolEIpFIJBKJRNJLkY4fiUQikUgkEolEIpFIJJJeinT89AKEEGOFELVCiDNCiO/0dHskEknfRdojiUSSbKRdkUgkvRVp3yTdhXT89A7+G1ipKEqBoiiPJ3oQIcTbQoivJLFdsc53uRCiQwjRGDR224QQXzTY7wtCCEUIcZvF9xuFEAeFEM8JIc7vrmuQSCRRZJw9EkLcqbMjvgi70qjb789CiHYhREXE9x8RQrwRse0xIcQr3dF+iaQPkHF2JXg+w3GOEOISnY1pCo5xGnV/hgXb2hL8/wkhxIsGtkcIIXYLITbrtr2mO45fCNGm+/9vg206GHGc64UQHwTbclII8YwQYkh33SeJpI/TG+xboxDCK4RY0F3nl8SPdPz0DoYDm3q6EUKIrAS+dkhRlH5Af+Be4PdCiLER+3weOAV8zuL7BcAMYCvwrhDiygTaIpFIuk7G2SNFUZ5RFKVf0JZcQ9Cu6LYhhMgH5gCngbsiDvG/wFma41oIcSGq3fpGEi5FIpFkoF3RoR/n/A/we+Ckzr5MCO5XpLM7+4PbvhXcZzTQD/hZxLEvBQag2p/zARRFuUZ37GeAn+qOG2WThBA3A38DHgPKgu1pBf4thChO4HolEkl8ZLx9C9qbi4EvCyGqktsySbKQjp8MRwixApgF/DLobR0rhPiZEGK/EOJocHXHHdy3WAjxihDiuBCiLvjvIcHPfgRcojvOL4UQI4KrUFm684W8ycFInFVCiEeFECeB+UKIHLPzW6GovIrq4JmkO99w4DLga8BsIcQgi+8fVBTlB8AfgJ8kcj8lEkni9BZ7ZMIcoB74IapTJ4SiKM3AV4GfBW3Wn4B5iqIcjDyIRCKJj95iV4LjlGqgDjgnnnugKEo9UA1Mifjo88A/gFeJsEt2EEII4BHgIUVR/qYoik9RlCPAV4BG1AU5iUSSInqLfQNQFGUP8B5x2jdJ9yEdPxmOoihXAO/SuSr0DeBs1MHBaMAD/CC4uwN4EtWzPAzwAb8MHuf7+uMoivItm02YDuwGBgI/AhZanB8hRL0Q4uLIgwghHEKIG1FXm3bqPvocsFZRlCXAFuBOG216EThPqCv0Eomkm+gt9siEzwPPAn8HxgkhpkZc+0rgBWAdcAR4wuZxJRKJBb3FrgTHOZ8GioANNs+tfbcUuAnd+EgIkQfcjBrV8wxwuxAiO57jAmNR79Pz+o2KonQAS4Cr4jyeRCKJg95i34KfjQFmAqttnlvSzUjHTy8iuHLzNeBeRVFOKYpyBvgxcDuAoignFUVZoihKc/CzH6FG03SFQ4qi/D9FUdqBFqvzB9tQpCjKv3XfHyyEqEc1Xi8B31UUpUb3+edQQ5AJ/m2U7hXVJkCgDq4kEkkPkKH2yOxahqGuyP1NUZSjwFsY26J3gdLgfkoXr0UikUSQoXZFG+ecAB4EPqsoyjab535cCHE6+N0y4Nu6z25CTcl6A1gGuIDr4ry2suDfhw0+O6z7XCKRpJhMtm9CiAZgO7AGiDmukvQMieTySdKXciAPWKfaDkB1gDghtDr0KPBJQMvbLhBCOBVFCSR4zgN2z2/CIUVRhgghclC9zFeg5pkjhJgJjERdYQfV8fMjIcQURVFqLY7pARTUtAyJRNIzZKI9MuOzwBad3XkGeEQI8V+KovghtCL/M1T79UMhxPPB9AyJRJI8MtGuHFIUJVGh5O8oivIHIcRE4BVgCKDp/3weeC44YWsXQiwJbnspjuOfCP5dAeyJ+KxC97lEIkk9GW3fhBCFwK+Bp4A7EmyPJIXIiJ/exQnUyJkJQY9skaIohcHQQYD7UMN6pyuK0h9VFBDUlxpUZ4mepuDfebptkRo7+u/EOr8piqK0oooeThSdomCfD7atVghxBNWLrG234tPAR4qiNMXYTyKRpI6MtUcGfA5VPPVI0Bb9HHUl/FrdPo8BryuKci/wDtEirBKJpOv0JrtiG0VRNgAPAb8SKkNQF8ru0tmlm4FrhRDxROlsAw4Ct+g3CiEcqLpmbyXlAiQSiR0y2r4pinIadZH+Bjv7S7of6fjpRQRzsn8PPCqEGAAghPAIIWYHdylAfaHrhRAlqCHHeo4CZ+mOdxzwog4snEKILwGjunD+WO1vQxUZ/IEQIhe4FTXkcIruz7eBz4gI5fngQMgjhHgQVZTwe3bOKZFIUkOm2yMNoVboGgVcQKcdOhdd6qkQ4lpULYzvBr/2baBKCDErnnNJJBJreotdSZCnUHU4bkSNQtyOOgmcEvxzNqoTx/ZKezAl9b+AB4QQnxFC5Aq1iMYfUKuQPZrE9kskEgsy3b4JIfqhpoX1eIUyiTHS8dP7+B9U8b/VwXzLf6IODEBdkXajenRXA69HfPcXwM1CVYp/PLjtq8Bc4CRqic/3unB+hKo0f4nF9/+EKlh2C6px+4uiKEe0P8HPs1DDHEHNLW1ErT7xITARuFxRlDditFMikaSeTLdHEKyaoyjKhghb9AvgeqFW8fotakrGKQBFUY6hrsw9IRKvIiaRSIzpDXYlboKLY78A/hfVLv1ab5OCdum3xFndS1GUxaiOpHv/P3tvHt9Gfef/P8eybMv3mcs5HAJJIARiCCQQyllIWy6Xoy2Fbu9ut7vbltK0oWWX0LJL+s220OPXa5eeUJpy1NwEaDgDCSRxQgi5CEmcyDlsx1ds2Zbt+f0xGnkkzYxGly3Z7+fjoYetz5waaV6fz7w/7wPtGryHdg2XqKramszPIAhCVDJN36YE2k4AB4BynBXiEUYBRfJPCoIgCIIgCIIgCIIgjE3E40cQBEEQBEEQBEEQBGGMIoYfQRAEQRAEQRAEQRCEMYoYfgRBEARBEARBEARBEMYoYvgRBEEQBEEQBEEQBEEYo4jhRxAEQRAEQRAEQRAEYYwihp8YURTlXEVR3lQU5VVFUR5SFMU92uckCML4RTRJEIR0QLRIEIR0QLRIEMwRw0/sHAQuVVX1QmA/cO3ono4gCOMc0SRBENIB0SJBENIB0SJBMCF7tE8g01BV9bDhbT8wNFrnIgiCIJokCEI6IFokCEI6IFokCOaIx08YiqKUKYqiKopyQlGUHkVRDiiK8kWT9WYAVwBPxrDvckVR/q4oSndgv5+Od11FUR5QFOWwoiidiqLsVhTlS4ZlLyuK0hv4DCcURdllWHYi7DWoKMrPnWxrWOdTiqLsCJzbXkVRPuTwnP9NUZSNiqL0KYryB6f7DSw7VVGUtYqidCiK8r6iKB8P29ZyuaIoNYqiPKMoSpuiKEcURfmFoijZMRzbcnu77yFs/6cErusDTr8LQYDkaZJT/VEUJVdRlPsD63QpirJFUZSPxrIvB8vt7jfL+yKGzxBxv0Vbnqp9O7yecWuUnfZFWy4aJMRChmqR3Vgp7nteiT6esRuHOflcVvd7QtckmtY4uJ52n8t2/Bjlu4iqgYKgk6ZaZPs8oNiPbaI9myXy/OTkuc5yXBOvFjnQg2haZKc10baNdr0slytRxlQZj6qq8jK8gEuAZsP7TwMDQKWhrRh4FZgT474fAlYDhcAFQAcwL551gXlAbuD/ucAR4OzA+5eBLzk4n0LgBHChoc12W+By4ACwGM1wWA1UOzzn64A64FfAH2LYbzawG/gW4AIuBbqB2Q6XPwP8AcgDJgHbgK87OXa07e2+h7DP9zzwGvCA0+9CXvJS1eRpklP9AQqAFUBN4H64CugCapzuy255tPst7FxC7osYPkO0+y1iear27fB6xqVRJKiNdtdaXvIKf2WoFtmNleK+57EZzwSWv4zFWCra57K635NxTYiuNdGup93nslzm4LuwPS95ycv4Ij21yNHzQGC5ZX9rtsxOb+z0IrDc9r4MrGM6rklEixzoQTQtstOaaNtG02fT5cQwZsrU16ifQLq9gFuBNYb31YAKnGL4UTwDXBbjfgvQ3A1nG9r+DKxMZN3AsjnAYeATgfdRb/LAep8FPgAUQ1u0G/UN4IsJfr67w29Eq/0Glp2OJoLG83we+KHD5TuAjxmWrQJ+4+TYTra3+h4M7Z8C/oYmkFYPixHfhbzkparJ0aRYNcVk+3eA653sy8Fy2/st7LjB+8LpZ4h2v5ktT+W+o13PwPu4NMqB9tkut7rWo/2bl1d6vjJNi0y2DfbRSbznI8YzgfaXcTAOs/hcjjUy1mtipzVOrond54rlMxM5bnU0zpKXvFQ1/bTIZJnp84BhuWV/G2VZTM9PgeW296WdxiWoRdGOG23cY6c1Tp/LTPXZajkxjJky9SWhXpHUApsAFEUpBe4JvH8/sPwmYBHwHwE3tE8G1v2loii/tNnvbGBAVdXdhrataBbiuNYNHLMH2IkmMM8YFt+jKEqLoijrFEW52OKcPgv8SQ38sqNtqyiKC1gIVAXc3w4F3Os8MX6+EKLs13IztBvUyfL7gE8pipKvKEo18FHguRiObbl9YB+W34OiKMXAD9Csx3ZYfReCkAxNSuT+nBjYfrvDfVkuj+NeN94XUT9DtPvNZnkq9x2+Xvj1hMQ1KuQQONdGI6JBQjQyTYv07cz66ITveQc4GYeFfK5Y7/c4rsl9WI9nnH43dp/L9jPbjJfszksQwkk3LdLb7Z7LjNj1t4774hj0wuq5zlLjkqBFlscNcB/R73mr7Z1smyyijakyCjH8RLIA+IaiKJ1AGzAB+Ih+A6qq+mdVVStUVb048FodaP+aqqpfs9lvIdAZ1tYBFMW7buB4RcCHgMeAvsCi7wInoVnAfws8qSjKLOO2ihb3ehHwx7Dj2G07EXADNwSOuQBNfO+I8fOFY7dfgF3AMWCZoihuRVGuCJx7vsPlr6IJeSdwCNgI1Ds8drTt7b4HgB8C96uqesjqw9t8F4IAydGkuO5PRSuB+iDwR1VVdzrcl91yJ/ebfuzw+8LJZ4h2v1ktT+W+g1hcT4hfoxLVRv28RIMEJywgs7QI/fhE9tHJuOftiDoOA9PPFYtGxnNN7LTGyTWx+1xRP7PNeMl2nCUIYSwgvbQIff9YPw/o21v2t3H0xU70wu6+tNO4RLUomh5Eu+fttk+VXjgaM2UyYvgxoChKLnAqcIaqqsVoP/bFgD/G/dysDCejejbQfAIt3tRIMVo8ZDiO11VVdVBV1deBqcC/BNo2qKrapapqn6qqfwTWAR8L2/QzwOuqqu4L25/dtr7A35+rqnpYVdUW4CeB5bF8vnDs9ouqqn60WMwr0WJmb0NzSzwUbbmiKFloVuDH0Nw6K4Ey4EdOju1ge/26RXwPiqIsAD4M3Bvl85t+F4KQLE0ijvsz8Nv/M5or9L/FsC+75bb3Wxjh94XtcaPdb1GWp3Lf+jqm1zMRjUpEG8NOTzRIsCVDtSiISR+d0D0fDSfjMIvP5Ugj47kmDrQm6vW0+1wOx54R34XTcZYgQNpqURCz54Ew7PrbWPviqHphdV860LiEtMhOD5zc8zbnnTK9iGHMlLGI4SeU04FetNhKVFV9FGgEro9lJ6qqPqiqamHgpWc43w1kK4pyimHVMwlzE4xjXZ1sIGI2ST8lNFc1I/+EM4tycFtVVdvQfvxq2PJ4zxkH+9XXeUdV1YsCFvylaFbgtxwsLwemA78IiEcr8HuGByrRjm27vQnG7+FitKRnjYqiHAG+DVyvKMrmsG2cfhfC+CMpmkSM96eiKApwP9qMz/WBztDpviyXO7nXDYTfF9GOezH295vd8lTuO9r1TEijEtBGI6JBQjQyUYvM0PvoRO/5WAkZh1l9LicamcA1iTaeied6mo0vnSyD4e8i1nGWML5JRy0yw+q5zK6/jakvjnFMZVyuEEXjkqBFVseF+O55ffuU6oXDMVPmoqZBoqF0eQFfAtaHta0E6pO0/7+iZZAvAJZgX9XLcl00l8ZPobkpuoClaFnHrwFKA+/z0ETnZsIykgPnB9qKwo7pZNsfAG8HzqEMLQv8D518vsA+89Bicf+sHyfafgPLzwisn48mTvsIZM+Pthytc1geOH4p8HfgL04+k932dt9DYLt8tGzz+ut/gEeAqmjfhbzkparJ1aRo92fYur8G1gOF8ezLbnm0+y2wjpVG2e3X9n5zsDyV+452PePWKBLQRrtrLS95GV+ZqEVE76MTueftxjOlRB9LWX4uu/s9CdckmtbYbWv5uaJ9Zgffhe15yUte+os01KJov2/Depb9bZRlcT0/RblnnTyjxKVF0fQgsI7lPe9AT6LpmOX1cnA9bcdMmf4a9RNIpxfwC+C3YW0XB35seVG2/TXw6yjrlKPFIHajWac/bVj2LPA9h+tWAa8A7WjxjduALxuWvY3mqtgeuCEvDzuP3wB/Njk/J9u6gV8Glh8BfqZfG7tzDixfgWaxNb5WRNtvYPkqtDjeE4FrdXLYvi2Xo8WlvhxY3oLmtjfRyWey297ue7D4/lcQmTHf9LuQl7xUNbma5OD+fBb4HjAjcG/2Bu4n/XVzDPuy0y/b+y2wjpVG2R43bN2I+81uear27fB6mmqMk2tGAtpod63lJS/jKxO1iCh9dCL3PPbjGduxVLTPFeV+T/SaLMBea6JdT9PP5eAzR/subM9LXvLSX6ShFkX7fRv2Z9nfRlm2gjien6LdlybHCH9GiUuLnB640KMAAQAASURBVBzX7p53oCe2emF3vRxcT9sxU6a/lMCHFARBEARBEARBEARBEMYYkuNHEARBEARBEARBEARhjCKGH0EQBEEQBEEQBEEQhDGKGH4EQRAEQRAEQRAEQRDGKGL4EQRBEARBEARBEARBGKOI4UcQBEEQBEEQBEEQBGGMIoYfQRAEQRAEQRAEQRCEMUr2SB6ssrJSrampGclDCoKQZDZt2tSiqmrVaJ9HIogWCcLYINP1SLRIEMYGokWCIKQDdlo0ooafmpoaNm7cOJKHFAQhySiKcmC0zyFRRIsEYWyQ6XokWiQIYwPRIkEQ0gE7LZJQL0EQBEEQBEEQBEEQhDGKGH4EQRAEQRAEQRAEQRDGKGL4EQRBEARBEARBEARBGKOI4UcQBEEQBEEQBEEQBGGMIoYfQRAEQRAEQRAEQRCEMYoYfgRBEARBEARBEARBEMYoYvgRBEEQBEEQBEEQBEEYo2Q7WUlRlP1AFzAIDKiqulBRlHJgNVAD7Ac+oapqW2pOUxAEQbRIEIT0QLRIEIR0QLRIEASnODL8BLhEVdUWw/vlwD9UVV2pKMrywPvvJnpC9Q1eVq3ZRVO7jymlHpYtnUNdbXVK93VH/TYe2nCQQVXFpSjctGgad9fND1nnjDufo7NvMPi+ONfFO3d9JK7zSvb5C0K8LPqvFzja1R98P7Eohw3fv3wUz8gRI6JFRvR70dvuw6UoDKoq1VHuyXjuX+M2ee4s+gaGGFKx1KVYzj2ddeTyn7zMnmPdwfenTCjghW9dPHonJDgmQzUkWYy4FlnhZBxjRbI0wm4/4/x34ugaZ4JWJ8J4/w2kmLTRIkEY6zjV6voGL3c9uZ22Hj8A+e4s/IND+Ie05VkKnHdSOdubumj3+W2PWZbv5s6r5yXcJyQS6nUt8MfA/38E6hI6E7QLdPtj2/C2+1ABb7uP2x/bRn2DN2X7uqN+Gw+sb2RQVQEYVFUeWN/IHfXbguuEG30AOvsGOePO52I+r2SfvyDES/ggDOBoVz+L/uuFUTqjuEm6Fhkx3otAUCvs7sl47t/wbXx+zeijHzNcl2I993TVkXCjD8CeY91c/pOXR+eEBMeMIQ1JFinVIiucjGOsSJZG2O1nvP9OnFzjTNDqRBjvv4FRYFS0SBDGOk61ur7By7JHtgaNPgA9/mGjD8CQCuv2Ho9q9AFo6/Gz7JGtCfcJTg0/KvC8oiibFEX5SqBtoqqqhwP/HwEmJnQmwKo1u/D5Qw0sPv8gq9bsStm+Htpw0HR7Y3u40SdaezJI5rUQBDPCB2HR2tOEEdEiI2b3oo7VPRnP/Wt3HB0rvYpln+mmI+FGn2jtQvqQoRqSLEZci6xwMo6xIlkaYbefcf47cXSNM0GrE2G8/wZSTNpokSCMdZxq9ao1u/APqkk9tn9QTbhPcBrqdYGqql5FUSYALyiKstO4UFVVVVEU008XEKGvAEyfPt32IE2BGXWn7cnYlz5DFo5V+0iRzGshCGOIEdEiI9HuObPl8dy/Tu7tWHVJdEQQUsaIa5EViYxjkqURojXWOLk2cv2EBEgbLRKEsY5TrU6Vdie6X0ceP6qqegN/jwF/B84FjiqKMhkg8PeYxba/VVV1oaqqC6uqqmyPM6XUE1N7MvblUhTT9azaR4pkXgtBGCuMlBYZiXbPmS2P5/51cm/HqkuiI4KQGkZDi6xIZByTLI0QrbHGybWR6yfESzppkSCMdZxqdaq0O9H9RjX8KIpSoChKkf4/cAXwLvAE8NnAap8FHk/oTIBlS+fgcbtC2jxuF8uWzknZvm5aNM10e2N7ca7LdB2r9mSQzGshCGZMLMqJqX20GUktMmJ2L+pY3ZPx3L92x9Gx0qtY9pluOnLKhIKY2oX0IdM0JFmMlhZZ4WQcY0WyNMJuP+P1d6Lj5BpnglYnwnj/DaSKdNMiQRjrONXqZUvn4HYl14nE7VIS7hOcePxMBF5XFGUr8BbwtKqqzwErgcsVRdkDfDjwPiHqaqu557r5VJd6UIDqUg/3XDc/rgzWTvd1d918blk8PTgz5lIUblk8PaQaxjt3fSTCyJPqql7JvBaCYMaG718eMehK8yobI6ZFRoz3IgzPotvdk/Hcv+HbeNxZZAX6DDNdivXc01VHXvjWxRFGHqnqlRlkoIYki1HRIiucjGOsSJZG2O1nHP9OAGfXOBO0OhHG+28ghaSVFgnCWMepVtfVVrPqhjMpy3cH2/LdWbgNlpcsBZbMKqfU4yYaZfluVt1wZsJ9gqKOYC6bhQsXqhs3bhyx4yWTsV5mUxCcoijKJlVVF472eSRCJmiRaI4gRCfT9ShZWiR6IQiji2iRIAjxksw+3E6LnCZ3HtNEu9h66TY9i7deug2QgZUgCKYkIuKiOYIgOCUT9EIMU4IgCIIQiVkfvuyRrax4YjsdPn9S+8xxb/hxMmCyK92WyoGLDJQEITNJ9EEsmZojOiIIY5vRGqM4JRMMU6lGdFgQBEHQMfYJWYoSUYXTP6jS7vMDye0zHVX1GsvYDZh0RqPMpj5Q8rb7UBn+0usbvCk7piAIycGJrtiRLM0RHRGEsU+6lwJPVA8zHdFhQRAEQSe8Twg3+piRrD5z3Bt+nAyYRqPM5ngfKAlCJpPog1iyNEd0RBDGPuleCjzdDVOpRnRYEARB0DHrE5yQjD5z3Bt+nAyYRqPM5ngfKAlCJpPog1iyNEd0RBDGPuleCjzdDVOpRnRYEARB0IlX+5PRZ457w4+TAdNolNkc7wMlQchkEn0QS5bmiI4Iwtgn3UuBp7thKtWIDguCIAg6VtrvUhQUtNLt7iwlZFmy+sxxn9zZmMDZLuleXW31iA6ili2dE5IMEcbXQEkQMhmnuhJtH4lqjuiIIIwPRnqMEgvJ0MNMRnRYEARB0LHqE4wTNqkqCDDuDT+QngOm8T5QEoRMJx10RXREEIR0IB30cLQQHRYEQRB0nPQJqeozxfCTxozngZIgCMlBdEQQBGF0ER0WBEEQdEarTxj3OX4EQRAEQRAEQRAEQRDGKmL4EQRBEARBEARBEARBGKNIqFcak6rEToIgjB9ERwRBEEYX0WFBEAQBRrc/EMNPmlLf4A3J+O1t93H7Y9sAZLAgCIIjREcEQRBGF9FhQRAEAUa/P5BQrzRl1ZpdIWXeAHz+QVat2TVKZyQIQqYhOiIIgjC6iA4LgiAIMPr9gRh+0pSmdl9M7YIgCOGIjgiCIIwuosOCIAgCjH5/IKFeDhnpeLwppR68Jj+CKaWelB1TEIT4ScccDqIjgiCkK+momalAdFgQBEGA0e8PxOPHAXo8nrfdh8pwPF59gzdlx1y2dA4etyukzeN2sWzpnJQdUxCE+BgNjXCC6IggCOlIumpmKhAdFgRBEAAumVsVU3uyEcOPA0YjHq+utpp7rptPdakHBagu9XDPdfPH5GyYIGQ6ox2za4XoiCAI6Ui6amYqEB0WBEEQAF7a2RxTe7KRUC8HjFY8Xl1ttQwMBCEDGO2YXTtERwRBSDfSWTNTgeiwIAiCYNXHedt9LFm5NuWhz+Lx44DSfHdM7YIgjC9EIwRBEJwjmikIgiCMN6xy+SgwIqHPYvhxgKrG1i4IwvhCNEIQBME5opmCIAjCeMMs55sChHd9qQp9FsOPAzp8/pjaBUEYX4hGCIIgOEc0UxAEQRhvmOV8s5rvSEXos+T4ccBolV4bL6VOBSHTGe3yjHaIjgiCkG6ks2amAtFhQRAEASJzvtX+4HnaeiInPVLRH4rHjwNGoxTneCp1KgiZTrqW6xUdEQQhHUlXzUwFosOCIAiCGfUNXk70DkS0u11KSvpDMfw4YDRKcY6nUqeCkOmka7le0RFBENKRdNXMVCA6LAiCIJixas0u/EORwV4FOdkp6Q8l1MshI12Kc7yVOhWETCcdy/WKjgiCkK6ko2amAtFhQRAEwQyrfiBV+e7GtOEnk2Oqx1v8uyCMN0ZCn0RHBEEYr6TLGFB0WBAEQTDDqn8o8bhTcryMDPWqb/CyZOVaZi5/miUr15rGSWd6TPV4in8XhPFGvPrkRPuMiI4IgjAeSacxYCI6HKvmC4IgCJnDsqVzcGcpEe1dfQMsuOv5pGt/xhl+nHbmmR5TPZ7i3wVhvBGPPsXzICM6IgjCeCSdxoDx6nA6Ga8EQRCE5FNXW01hXmQA1uCQSrvPn3Ttz7hQL7vO3NiJJjumejRchsdL/LsgjDec6FO45nT3DTjSvnBERwRh7JMuYU3pQrrl1YlHh52OdwVBEITMpd2klHs4ydL+jPP4cdqZW8VOxxNTLbMugiAkk2j6ZKY57RaJ3iRBqCCMb2SMEkkyx4CjRboZrwRBEITk47RfSob2Z5zhx2lnnszcFunkMiwIQuYTTZ/MNMeKTHqQEQQh+cgYJZKxkN9sLBivBEEQBHvM+iszkqH9GWf4cdqZJzO3hVm2bbt2QRAEO6Lpk1NtybQHGUEQkk/Sxyh9fdDdncAZjT5jIb/ZWDBeCYIgCPbU1VZz/dn2fVOytD/jcvzonbaTWPZk5bZwKQqDqmraHg8Siy8Igp0+WWlOlgKTSzwp0Q7RJUHITJI9RuHWW2HjRnjrrQTPbHTJ9PxmsYx3E0X0XxAEYfR4aWez7XKjF28i2pxxhh8Y+c7cbEBl126HHouvu2XrsfiQ2BcpCMLYwUpbhlRYt/zSpB9PdEkQMpdkjlEAePpp6OlJ4IyEZDES413Rf0EQhNHFSf6eZGhzxoV6jQbVFjF1Vu12SCy+IAjRSKbmOEF0SRAyl6TqxYED0NgIXV0JnpWQKYj+C4IgjC5O8/ckqs0Zafipb/CyZOVaZi5/miUr16a8ckUy46ylSoMgCNEY6dwOTsvLj6TuCoLgjKTqxauvan/7+qC/PwlnpyH6kb7IuFQQBGF0cZrgGRLT5owL9RoNl9RkxllPKfWYJlyUKg2CIOiMZG4HiK5LEgogCOlLUvVCN/yA5vVTUZHw+Yl+pDcyLhUEQRhdwvvx0nw3bT1+03UT0eaMM/zYuaSmcgCRrDjrZUvnhAyAQKo0CIIQyUjmMoumS6Olu4IgOCNpevHqq6AooKpJM/yIfqQ3Mi4VBEEYfYz9+JKVa00NPwokpM0ZZ/jJdJfUWGbmpMqCIAiJ4kRHoulSpuuuIAgOOHIEdu+GRYtgw4ak5fkR/Ujv8dxIe5gKgiAIoYT3EWZemAAq46yq11hwSXUyMyeu0YIgJEosOmKnS2NBdwVBiMJrr2l/r7pKM/x0diZlt+NdPzJhPDfS1XIFQRAEDbM+QkEz8oSTaJGXjEvuPNJJT0cLqbIgCEKiJEtHxovuCsK45tVXoaAALrpIe58kj5/xrh8ynhMEQRCsMOsjVLSwLiPJ6DczzuNntFxSR9pNV1yjBUFIlGTpSKp1N53DIARh3PDqq3D++VBWpr1PkuGnrraajQeO89CGgwyqKi5F4fqzx4+HiYznBEEQxg+xjmmt+gIVzcMnmWPjjDP8wMi7pI6Gm+54d40WBCFxkqkjqdLdTAiDEIQxz/HjsG0b3HgjFBdrbUkK9apv8PLoJi+Dqua4PqiqPLrJy8IZ5ePiHpfxnCAIwvggnjGtVR9RXeph3fJLk3p+GRfqNRqMhpvueHeNFgQhcTJBRyQMQhDSgNdf1yp5XXghFBVpbUny+Bnv93gm6LAgCIKQOPH0dyPZR2Skx89IMxpuulJlQRCERMkEHZEwCEFIA159FXJy4NxzITswNEySx894v8czQYcFQRCExImnvxvJPkIMPw4YLTddqbIgCEKipLuOSBiEIKQBr76qlXHPy9PeezxJ8/iRezz9dVgQBEFInHj7u5HqIyTUywHipisIgpAaRF8FYZTp6oLNm7UwL52iIqnqJQiCIAgxkO79nWPDj6IoLkVRGhRFeSrwfqaiKBsURXlfUZTViqLkpO40R5e62mruuW4+1aUeFLRkS/dcN19mbwRhFBjPWjQWEX0VMpUxo0VvvgmDg5GGnySFesk9LgipZcxokSBkOOne38US6vUNYAcQKPfAj4B7VVX9q6Iovwa+CPwqyeeXNoibriCkDeNai8Yioq9ChjI2tOjVV8HlgvPOG24rLk6axw/IPS4IKWZsaJEgjAHSub9z5PGjKMpU4Erg/wLvFeBS4JHAKn8E6lJwfglR3+Blycq1zFz+NEtWrqW+wTvapyQIQgKMlhaJlgiCYCRTx0WmvPoqnH32cDUvSGqol+AM6WeEeBhTWiQIQpBU9AlOPX7uA74D6KOCCqBdVdWBwPtDQFqZtuobvNz+2LZgSTVvu4/bH9sGkLZWOEEQonIfI6xFoiWCIJhwHxk2LgK0sK7f/S60bcMG+PrXQ9uKiqCpaeTOa5wj/YyQAPeRiVokCIIlqeoTonr8KIpyFXBMVdVN8RxAUZSvKIqyUVGUjc3NzfHsIi5WrdkVvFg6Pv8gq9bsGrFzEAQheYyWFomWCIJgJFPHRXR1wcc/Dg89BM88M/yaMgVuuCF03SSHegn2SD8jxEPGapEgCLakqk9w4vGzBLhGUZSPAXlo8aM/BUoVRckOWJSnAqb+R6qq/hb4LcDChQvVhM42BppMSqnZtQuCkPaMihaJlgiCEEZGjotYuRKOHoX167XS7XZIqNeIIv2MECeZqUWCINiSqj4hqsePqqq3q6o6VVXVGuBTwFpVVW8GXgL0KaLPAo8ndCZJZkqpJ6Z2QRDSm9HSItESQRCMZOS4aP9++PGP4eaboxt9QPP4SVJVLyE60s8I8ZCRWiQIQlRS1Sc4LuduwneBbymK8j5aPOn9CZ1Jklm2dA4etyukzeN2sWzpnFE6I0EQUkRKtUi0RBAEh6TvuOi734WsLLjnHmfrFxWBzwcDA9HXFRJG+hkhyaSvFgmCEJVU9QmxlHNHVdWXgZcD/38AnJvQ0eOkvsHLqjW7aGr3MaXUw7KlcyISHenvo60nCELmMZJaZNSSfm8TP1/zMyadfgo10y4CdSGcfjrk5KTq8CE40T5BEEaOdBkX2bJuHfztb3DnnTBtmrNt9ApfJ05AaWnKTk3QsBqzAixZuVY0X4hKRmiRIAiO0HX+rie309bjByA3OxF/HY2YDD/pQCxZrutqq6WDFAQhYYJa8vTT8Iu3wbsd/v4XbWFODixfDnfdldJzkKovgiDEzNAQfPObUF0Ny5Y53664WPvb2SmGnxEifMwqmi8IgjC+6fUPBf9v9/kT7gMSNx2NMFL5QBCEUaO7W/u7YQPs3QurV8Ps2VBfn/JDi/YJghAzDzwAGzdqIV4FBc630z1+JMHzqCGaLwiCMH5JRR+QcR4/UvlAEIRRQzf8FBZCTQ2cdBK89hr86U/JP9aBA1BXp3kZTZki2icIgj1PPgm//W1o25tvwjnnaEmdY0E3/EiC51FDNF8QBGH8koo+IOM8fqTygSAIo4Zu+DHOnM+YoT0ctbcn91hvvAFbtsD27YBonyAIUbj7bnj9dWhqGn6deqpmDMqKcbinh3qJx8+oIZovCIIwfklFH5Bxhp9YslzXN3hZsnItM5c/zZKVa6lv8I7UaQqCMIbQtWTlI5sAeHJPx/DCGTO0vwcOJPegjY3a34CxSaq+CIJgSVubFtL19a/Dpk3Dr9degwULYt/fSIV6tbfDwYOpPUaGED5mvWRulWi+IAjCOKS+wUtPf2RVzUT7gIwz/NTVVnPPdfOpLvWgANWlHu65bn5EkiM9KZ633YfKcFI8Mf4IghALRi3x+HsZQuE7z+wZ1pKaGu3v/v3JPbBu+OnpAZxrnyAI45CXX9YSOV9+eXL2N1KhXsuXw0c+ktpjZABmY9ZHN3m5/uxq0XxBEIRxhN4f6NW8dEo97oT7gIzL8QPOqnXZJUTKlE5TSjcLwuhj1JJ8fy8+dy6+gaFhLRkhjx+Ir1Kh6IggjANeeEHLPbZoUXL2N1KhXu+/D4cPp/YYaUA0HbYas760s5l1yy8d6dMVBEEQRhi9n/Ba5PApyM1OePyekYYfJ8SSECkdH4ykjKcgpAdGzcj399Ljzgttr6oCjydmw09U3dH3ZzD8xIroiCCME158ES66CNzu5OxvpEK9mpo0ryJVBUVJ7bFGCSc6nC6JnNNxPCwIgjDWCe8nzPC2+6hv8CakyRkX6uUUpwmR0jUkTMp4CkJ6YNQMj78Pnzs3tF1RNK+fGEK9HOmOicdPrIiOCMI44MAB2LMneWFeADk52ivVoV5NTTA4CL6xW6nKiQ6nQyLndB0PC4IgjHXM+gkzlj2yNSFNHrOGn0vmVjlqd/pgNNKJotNl9kcQxjtGzTB6/IRoyYwZMXn8RNWdjg7tBQkZftJdRyQBvyAkgRdf1P5++MPJ3W9xcWo9frq7h3Uu7DhjSRuc6LDTMWsqkYkCQRCE1GPWvzkdl/sHVe56cnvcxx6zhp+XdjY7anfSIY/GLEg6zP4IghCqGfn9vfgChp8QLYnR8BNVd4xVbhIw/KSzjsjssiAkiRdfhMmT4bTTkrvfoqLUGn6MuX0MnkVjTRuc6LDTMWsqSfeJAkEQhEzHqn8rzXceph2e9DkWxqzhx2kH5qRDHo1ZECndLAjpgVEzPP4+enJyI9qpqYGWFsdGmqi6o4d5QUKGn3TWEZldFoQkMDSkGX4+/OHk58gpLk5tqFdT0/D/BgPTWNMGJzqcDkaXdJ4oEARBGAtY9W+qSkQ/kQrGrOHHaQeWrh2ylG4WhPTAqBn5/l582bkR7bFW9oqqO4H99OTk8cQbe+IOdUhnHUmHBx1ByHjeeQdaWth0ytnJD40aJY+fsaYNTnQ4HYwu6TxRIAiCMBaw6sc6fH6uP7saV2ACx6UouC2sNKWe+Is4jNmqXsuWzonIjm3Wgekdr10VgxKPm3ZfpFtVSQIX3gnxlG4WBCG5GLXE49dCvSK0xGj4cRBuEU13dr+9nZlZLg6UTMLj702oGle66siUUo9pyUqZXRaEGAjk97m1tRJvnnY/Ja16X1ERNKcw1Mjo8WMw/IxFbYimw07HrKnEyXhYEARBiB+r/q3E4+bRTV4GVRWAQVVlUI3c3p2lsOKaeXEff8wafupqq3l4YyPr9h4Ptp01vcS0A4vWIfsHh2Jqj4aUyxSEzKGutpqNB47z0IaDmsdPTh7Xnx2mGTU12t9AZa876rfx0IaDDKoqLkXhpkXTuLtufsR+re77/Zt3kldUyYmcfDz+PmA41GGsaMUlc6t4YH2jabsgCA554QX2TZhBY15pSHNS9KK4GPbuTez87LAI9RqP2mDsZ/R+I6KfscBuTBnreDNdJwoEQRDGAlZGfkXBUVWvc2eWSTl3M+6o3xZi9AFYt/c4d9Rvi3lf3f3mX4RVux1jLWmhIIx16hu8QSu8x99HtzuPRzd5Q+/ZyZPB7YYDB7ijfhsPrG8Msdo/sL4xJu0paz1MU3EVPncu+f7eYHumhjqYkQ7JTAUho+nthdde4+VpZ5guTlgvUh3q1dQEBQXa/waPn/GoDcZ+BrR+I6KfsdjOakwp401BEIT0Ijz0t9TjJs+d5Thhc7y2DJ0xa/h5aMPBmNpHirGWtFAQxjrGe9bj78Pnzo28Z7OyYNo0OHAgKdoztasFb3EVPTl5QY8fIKas/+nOWMvjIQgjzhtvgM9Hw5yFposT1ouiotQnd549W/t/DOf4cUK8Y0O77WS8KQiCkH7U1Vazbvml3PvJBfQNDMVcpSsRW8aYNfzosyZO2+2wqpMRT/2M8TigEYRMRr83swcHyBkaoCdQzj3inq2pgf37E9eegQGqOltoKp5AjzsvxOMnDvlKW9IhmakgZDQvvgjZ2WycYe7xk7BeFBdrVQWH4gtrj0pTE8yapRnODZ5F41Eb4h0b2m0n401BEIT0xcw474R4bBk6Y9bw47Ioa2rVbofV5Y3nso/HAY0gZDL6vakbYHwBw0/4PXugsIqW7Xss9+NYepqayFaH8JqEenWYJJnPVKSCjCAkyIsvwuLFHB4y9+xJWC+KirS/J04kth8L/Ie8/K1piA63h4fXvhcMQRqP2mA1BsxSFNvQLLsxpYw3BUEQ0pd4jfDx2DJ0xqzh56ZF02JqtyPfop6aVbsd43FAIwiZjH7PegIGmB6Tql71DV6eaHdT2dVKzoD5w5YSWC8qjVpS06biKnzZuSGhXmNpwJ7OpeYFIe1YtkwLizK+Nm6ED384dQ/4uuEnBeFeT72+C3dPN3tziunKzYeurmD+mfGoDWZjQ9Bmdu3y8tiNKWW8KQiCkL7E20fHY8vQGbNVve6um8++5hMhCZ6XzCqPqKzjBN+AuZuzVbsdUi5TEDIL/d786wNHAcgrKYp4CFm1ZheLC7WKM1M6j7G/PPJ+HlJxVmUnYPhprZhEz6E88vt7QVXx5GSPuQG7VJARBIfMnAkLw3L5nH8+fP7zLGt1paYUeHGx9jcFCZ4f+Pt6rgKOFlbQneOhsL8npBLZeNMG/bPe9retEW78dhXarMaUepvPP4hLURhUVaplvCkIgpA2mFX4ioY7i7hsGTpj1vBT3+Bl/b62kLb1+9qCs0mxYBVKF2+I3Xgb0AhCplNXW00dZ8BP4M6bzoWw+9fb7sNbohl+qjubTQ0/YO3WaSy5+50tL/EvwFdvuZhD+94mC5WZhS6+cdXYm/Gub/Cy4onttAdCUsry3dx59bwx9zkFIWG+9jXtZULddO1v0ieUdI+fVFT2OqyVcj9aWM6JnHwK+3oATUsh9jLko0Uyz7OutppbV28xXWbWd4Qf+95PLqCutjpYzUt/mBhU1aAhMB2voSAIwngk3HBf4nEHx8NW+IeIy5ahk5GGHycd7ff/vo3BoVDLzOCQyvf/vk06PkEQYqe7W/urlx824FIUDpVMBKC645jlLnS3TqOGlXjcdPcP4B/U9KroqJd2TxGD+QX8y5VnwBp46V/OgcrKJH+g0aW+wcuyh7fiN+h0W4+fZY9sBRCdFoQYSMmEUgpDvSad0CbmjhWW053joShg+HEFctoYDRd6GXJIL11I9nnWN3jJCnjnhBMeEmB3bLtqXul0/QRBEMY7xr57ycq1UQ0/QEK2jIzL8aM/LHjbfahond2yh7dGxD9395u7TVm1C4Ig2GJj+BlUVY4UVjCoZDG146jlLpYtnRMcsOsa1u7zB40+AFM6mzlUPEEruasfq6cnmZ/ElPoGL0tWrmXm8qdZsnKts3xECbBqza4Qo4+Of1CVcsOCYGCk780gKQz1qupqBTTDT1duPoX9msYNqmrGlCFP5nnq/YKZ0ccsbM/u2FLNSxAEIfNwqtGJ2DIyzvCz4ontEQ8L/iGVFU9sj76xqlomXhUEQbDFxvBTXephwJXNkcIKqjvNPX7K8t3U1VZHLd84pbOZpuIqrQPQj6UfO0WEG6P02eNUPmDadXDygCIIGqNxbwZJYajXLH8HPe5cunLyOZGTT0G/ds9Xl3oyxnCRzPO06hdcimKa2Nru2FLNSxAEIfMYCY3OOMOPlQtUeLtZobPL9r7F5p9/Gjo6Yjpmqce8VKpVuyAIYxAbw49ePeVQyQSmdjZHLPe4Xdx59Twg+kPBlM5mvMVVWgcwQoaf0Zhht+vg5AFFEDRG1ftF9/hJQajXBYUDNBdWgKJoyZ37eoKeLZliuEjmeVr1C0OqaurSb3dsqeYlCIKQeSxbOsfUfhFO/MXcM9Dw45SbF0+PaDuzaTeF/T44ciSmfa24Zh7urNDL7M5SWHHNvITOURCEDMLG8KOXH26rnMzUjqOU5bsp9bhNSxHbPRQU956guL+H5tIJ2iB9hAw/ozHDvmzpnAhdBXC7FHlAEYQAo+r9kkKPn6m+NgpmTqO61MOJ3HwK/T7u+fjp1NVWZ4zhIpnnGasRye7Yen9UXeox7YMEQRCE9KOuthondaPMbBxOybjkzmX5btp6Ir1+yvJDvW/0UmcPbTjIoKriUhQudJ/QFsY4eyUl2AVBsDP8QEAnrlwEK1+i4XuXQra5vJqVb3RnKRTmZTPpmOYtdPEV53BubTVsOBR67BQxpdQTrKYT3p4qdP2Uql6CYM1o3JtBcnM1HUtFVa+mJioXLmTd8kvBtQne+Ct1s0uBzBlzJfM8zfoFOyNStGNL9VhBEITMo9qizwfN0+fmxdPHVzn3O6+ex7JHtoYkQ3W7lGAYhZG76+aHXpwL/lv7m4pBjCAIY5sohh8AampgcBC8Xpgxw3QV2wH7U/3wezj3ogXUN3h55KF3eQC448ENLJx8ZsoG8rE+dCQLeTgRBHuc3pspKX+uKFq4V7JDvVQVmppgyhTtvTGkrLAQyBxtSNZ5xmNEypRrJAiCIDjDrM8HWDKrnAe/fF7C+884w09CMyz792t/YxzEZEppUUEQUkh3tzYD7nJZr6Mbe/bvtzT8gM2AvbERgGc73Nz+2jYqerXm3vbOlGpOpsywC8J4w8m9mdIxSlFR8ifLOju1SoVmhh+9bRwihhxBEITxTV1tNRsPHOfB9Y0hYV+bGzuob/Am3EdknOEnFowzYDMKXbzU1KQlRIpxEGOXXDGeLyAlM3OCIKSW7m57bx8IGnseeex1vvtcdzDM9KZF05y5ZjY2gtvNf208js8/iM+dB4DH35uQ5giCMHZJ9hglhKKi5Hv8NDVpf3UjTwpzCY0H7MaUMt4UBEHILF7a2RyR68fnH+Sbq7ew8cDx8RXqVd/gDQn18rb7WPbIVgDbGTAaG1HUwGUMG8RE6xiTmVxRvIcEIUNxYviZriVcO7B5B4NLFgAwqKo8sF7z5LET6/oGLwXPvsXsggoOdfYB0BMw/OT7Ndcfb7uPJSvXJn0QL7okCOmJk3szpQmgi4uTb5A5fFj7O3ny8DEgJdXD0hWnBplo69n9PgDRdUEQhAyivsFrmeMHcPQ8YUfGVfW668ntIfl9APyDKnc9uT2kLXwGbFrH0eGFhkFMfYOXZQ9vxdvuQyVgSHp4K/UN3uA6ySzZOaqlWQVBiJ8ohp/6Bi9L7nuDYwVlTO04FrH8oQ0Hbbdd9vBWylqP4C2eEGzvdecA4PFrhiAFQrTq9se2hWhVvIguCUJ64uTeTGn581SEeo2Sx099g5clK9cyc/nTLFm5NinaGe95RBt36uvd/tg2W823+n3c9eR2bvvbVtF1QRCEDEHvG6Lxlw2NcR8j4ww/ZhW9zNrDrWUhD2KGWaUVT2zHPxRmSBpSWfHEsCEpmSU7rax4dtY9QRDSABvDj3GA7i2eQHVnpOFnULUu0qjr0JTOZpqKq4LtqpJFjzsXj78PBUxdP5MxiB9NXUqXhzFBSEecePOktPx5KkO9RtDjx4kRJd79xqpfTsadoBl1Bn29FPT1BNvCNd/q99HW47fsc5LiCSYIgiAkBb0f+ebqLRF9gxkOVrEk7UK9khWPHP6QNK3jCP4sFz53HsWGwYVeRjgcY3syE5+6FMW0M3YpSsz7EgRhBOnuhvx800XGWddDJRM4/ej7EevY3ePtPj/ZgwNMPHEcr8HwA1q4V5UyEGH00fG2+5i5/OmM1CUJMRMEe5yUc09pcvZUhHo1NWkGJd3TJ0bDTzzjxFTkQYpXv5yMO0Ez0Hz3tT9z0b7NfPQLvwhp17H6fdiRFE8wQRAEIWEiUtOkmLQy/DjpREs9btNOs9TjDnkf/ggzteMYTcVVuIaGKI5jEJOsagtWMzB23gCCIIwu9Q1eZu89wjF3Id9fudY2D5i3ZAJX7HkTRR1CVYadKm9aNM32GBNPHMelDoV4/ABUVpVy3ZxSfmwzwDfOYEPsRpPR0qWUJqUVhDGA03LuKasIlapQL2P1rhhCveI1tqQiD1Iq9MuYw63E4+a0Y/uY0X44ZB2j4caq9K8VSfMEEwRBEBLGrB+Jhscdf8BWWoV6OYllX3HNPNxZobPQ7iyFFdfMs9331I6jHCyZSFdufsisUlm+23R9q/ZEqbaYabFqFwRhdNEfNLJ9PnrcuaYhAsaB+KHiCeQODlB1og3QvGZuWTzdNhFbWb47GB5mzPFTlu/Wwsu6u03DOcKJN/RrtHQppUlpBWEMUFdbzT3Xzae61IOCdk/ec938kTOM6oafZBqBww0/ubngdjvy+Ik3H1kq8iDFq19240tjKFp3/wBTulrI9/fhHtQmPMMNN2a/j/CJUB2Xoozsb0cQBEGwJZ7x7vVnT437eGll+HHSidbVVrPqxjNDOrlVN54Z0ZGF2YaY1nGUQyUT6c7xhMwqXXnGZNNjWrUnSkpj8QVBSDr6g0a+vxdfjlZlK/xBw3hfe0s0w82snlbu++QC9t7zsajZ9688YzJTOpsBQjx+rjxjctDwEz7AtyKeTmS0dCmlSWkFYYxQV1vNuuWXsm/llaxbfunIPrgXF2tGn+7u5O3z8OFQw4+iWHoWhefQsfJ6jKZ7qdC4ePXL6fjSPzDE5K4WAEp7T1ga/cJ/HyuumWf6WX/8icixsiAIgjB6xDPefWrr4egrWZBWoV6l+W7T5M2lYbMjTlyajYmPcv19VHW3c7BkIpO6WkNmlV7a2Wy6fXh7snIPpTQWXxCEpKM/UHj8vcHy6sZ2CL2vmwvKAPjm/GIWObyvX9rZzLVBw09lSLtu+NGPox+r9gfPO9JLJ4yWLl0yt4oH1zeGhOaKIVwQ0ghjGFZhYeL7U1XN42dymPGjuDhkbFbf4GXFE9tDQvu97T7TJPcQffCcCo1zGoYXjtW4M5zivm4K+rV+5u2vnQ2nnupoOxlnCoIgZAZm/YhVP6djlSfOCWll+LHyJI7Hw7jakA9Dr+h1qGQCZ7UfhK4jwfWcVLNJdgLSlMXiC4KQdPTkmfn+vhDDT/iDRvC+PjQb/vhNFhU6j9n1tvuo7jxGq6eYXsMxvO0+zfBzONK6n0y9hJHXpfoGL49u8oZ0bgpw/dmij4KQNhgTL4cba+KhvR16e0M9fvTjBAw/dskuVSIHxU6NxcnWuHgNLE6TMeteoAC0tcV8bqKjgiAI6Y1ZP3LJ3CoeWB9/yXY70srw02FhwbJqt8NoQZvWcRSAYxVTmJXthbd2B9dzUs1mtBKQ3lG/jYc2HGRQVXEpCjctmhY1ZEQQhOSybOkcvvfoVjwDffjcuUCUB42qQKjWsciS7la4FIUpnc3BMDGdLIUQjx8jTvUyXXXETFdVnM+GC4IwAsSQeNkRein3cMNPINSrvsHLbX/baptYXkWb3EsHbxanBhajDjulpuf48JsYDT+CIAhC+qBHDnnbfUHbQ7Wh/zL2I0tWrrXdV3g6m1hIK8OPk7KlTjFa0HTDz2c/fRE1zx2CfwwPYJxUs3HiFZRs7qjfFmLtG1TV4Pt0eGgThPFCXW01rp5u+C/wufNChNqU3FwoKYnJ8DOoqkzqauVQmOFnSIUDvQozenoitnGil+msI5LYWRAygJEy/BQX03agidsf2xbVOFJd6mHd8kuTcz4jQLgO22E0aH31JEPYrhh+BEEQMpJwL1a9j/O2+7h19Ra+uXpL8NlCb7djKIFaC2mV3DnZyff0hHc/XFAIubl85MO1wwkEh4YAZ9VsjN4/Rqzak4HVICFVrl+CIFhz9cklANx+40JnyVUnTIjJ8FNd6qGypz2YH8jI2819ph4/TvRypHUkPBGrsfJZOJLYWRAyAGOoVzKw8fjpOtYataxtJuYAi8XoY0zSvACDse34cesNBUEQhLTFrmS7bsPxtvv4VsAIFI1EKu6mleGnrraa68+uDhpUXIqSnHwP+/fDjBmQlTU8iDlxAnD28OTEK0gQhDGMbngpKHC2foyGn2UfPpnynk5a8ksjlrUMuejr6IowpIx6mecw9BkNYzni8LL3RqTCoSBkAKny+DFJ7pzbG+nZaKQs3x2hcbEYm9OdS+ZWhTYcPAjVgc8qHj+CIAgZiVNP9iEH6yQ6Tk6rUC892aduUBlUVR7d5GXhjPLEHmb27YOaGu1/4yCmuNhRcj4neYAEQRjDxGP42b07+noB6qbngTpES0FpxLIedx65g34OHz8RkVQ+nRJ4xpoLTSrPCELySFbl0Qj0MVOyPH4OH4bSUsjPD20vLqao39zw41IU01LkyS68MdpE5Dc7eBBOOkkbr4rhRxAEISOxSs0QK4pCwhO8aWX4SXYSZX0g9MT23bw2/0Jo8FJndFuudvbwNBoeP1al3MTUJAijQDyGn9dfd7z7tS9t5VKgxSTUqyeQUDrf38eJLFdMejiSOhJPzp50MlwJQqZS3+Bl2cNb8Q8N5w1Y9vBWIAkGEH3MlEyPH7PqYEVF5Pf3UuCCbsMw0ON2WQ50R6vwRqxEK82rE6GVjY1w3nnaXxPDT8qMfYIgCELSMCvZHg/uLCVhjU+rUK9kJvvUZ4Lajh2nwtfJLk8Ftz+2jTeP9WsrxDCIsXLsSaXDz82Lp8fULghCConH8NPSAoPRRb6+wcuDT7wNYOrx4wuUd/f4e4HY9HAkdSSenD1jKUxDEEaLFU9sDxp9dPxDKiue2J74zj0eLUw+mYaf8Pw+EDQw/WjpScH8BS5FCRpyzLQhUxLEW+ntVTte5avrHwm+D9HKoSE4dAimTYOysogcP7GG1gqCIAijgzE1AwxHDMVqRugfVBPW+LQy/CQz2ac+EzQ1UNHrYMlEfP5B/rw90HnG4LZs5diTyhQ/d9fN55bF00PyHd2yePqoV+IRhHFJPIYfVYXW1qirrlqzi6JOTZfMkjv3BAw/+QHDTyx6OJI6EmvOHnlwEYTk0O7zx9QeE4qihXslM7mzjeHnqpmFQS0xVj4x0wajFpb3dDCr9WBEezoQrsMKcMuWZ/nFE/+PW19/kKyhwUitPHYM/H6YPl0z/IR5/Nh5OwmCIAjphV5wav/KK9l7z8fYv/JK7v3kgpjTxiSq8WkV6mXmCmX24ODEvVWf8dFLuR8qmQjAfn/gwSRZs1cp5O66+WLoEYR0IB7DD2iD9wkTbFdtavdR2a0N6q1y/MCw4SfWpG5OdSTRsIFYc/ZkSpiGIIw2ox7SU1ycnDGTqlobfgz5F1etOeJIG/QxY2FbCw8/+B3yBvq45BsPpGWC+BAdvu8+WPP/0VJUQWVXK+cMtXPTdZeFfqeNgUpg06ZBeTns2BGyv0zxdhIEQRjLJNI/19VWc6uDKl5GEtX4qIYfRVHygFeB3MD6j6iqeqeiKDOBvwIVwCbgM6qq9idyMk4eHJwm89MTKU3t0CrrHCrRHr4KKgMz6smavUohoz7YE4Q0YiS1CELvv3/es5HlEJ/hJwpTSj1UdrfT53LTlZMfsdwXyPHj6e+jIMcVswY40ZFkJUmNJWePPLgImcpIapGTe7Ms301bT6R3T1m+O5FDD1NUlBzDT2ur5sVi4/FDZ6djbairrSa7q5PZn/p3atoPA3Df+RUsHcFxktNxmr7eNc/9ie++8ke8l32M6hW3w4c+xOoLiiF8m4Oa91Iw1CvM48cqWWi6eTsJqWWkx0WCIAyTjLFzrImfSzyJ9etOQr36gEtVVT0TWAB8RFGUxcCPgHtVVT0ZaAO+mNCZBNBdofatvJJ1yy+NuHBO3Vt1V+GpHUfxZefSkl+Kx+3i8x85U1shhkGM2+IqWbUnAwmDEEaCDMuxMmJaFH7/9XVoevH03g5nO4jB8LNs6Rwm+zpoLigNJg4zSktPTiDHz0AfHz8rekdi/E4X3PU8yx7ZGlVHRiNsIJmhvcLokWEakixGTIuc3JtXnmGSLNmmPWaSFep1VPPAZuJE82MAdHU514beXq76z39hdvN+uPtuAJb2NCZ+ngGi/badjtP09W546n6++8ofqT/tIpYu+hpPESjfvt0kF1O44Scsx0+sobXpwDjVilQzos9ogiAME+vY2UwDaypiG/N29w8kpJ1RTReqxonAW3fgpQKXAnpWuj8CdXGfRQzEMhN0z3Xzmd3TwqGSCVSX5XPPdfP52JLZ2goxDGL8Q7G1JwOJ3xZSTaYZF0dSi8LvP4+/T2t//ZCzHcRg+KmrrWZxwQAdxRUoQHWphxLDTL0vW6/q1RtZ7jeM8O+03efHPxiajMxMR0bD++aSuVUxtQvpR6ZpSLIYSS1ycm9a6UI0vXBMskK9mgPnYxb+avD4caQNAwNw003wyivwpz/BsmWQkwNvvZX4eeLst+10nLZqzS4qm73cuu4vPDbvEr515bc4MQj3vO7VcviYGX4aG7WS9+XlmuGnrw98w9+5MVmo3m8kWuY3lYxXrUg16faMJgjjiVjGzmYauOyRrazbezxyBzb4B9WEbAGOfFYURXEpirIFOAa8AOwF2lVVHQiscggw7W0URfmKoigbFUXZ2Nyc+CAk1lniSW1HOFhimF3KzdUGB6MY6uVk1kPCIIRUk4nGxZHSovD7LN/fy4CSxf6uAWczleXlWiUcB4YfgIm+dubVnhL0dGw3hG0Yq3pFu//NvlMzwvczGt43KX9YFVJOJmpIshgpLXJyb6Z8vJCsUC9dD6tMDDsGw48jbfja16C+Hn76U80AlJMDtbVJM/w4+W07ve5N7T7OOLwHgPvPqWMoyzW83rx5QcOPcWy49oVNdE2YrHmBlpdrOwoL94rmIR8LqfbGGc9akWrS6RlNEMYTsYydzTQwfGLWKYn07Y4MP6qqDqqqugCYCpwLzHV6AFVVf6uq6kJVVRdWmXX2MeLUvVW3rE1qPcyhkomhswvJGsTEgdNZDwmDEFJNJhoXR0qLwu+z/P5eLcmyojibqczK0h5uHBp+OHo0JPzBePxgcuf+3qj3v9PvLnw/o+F9k4m/PyGU8fwdjpQWORnzpHy8UFycnMky/cHS7DMbQr2i/q527oT//V+47Tb4+teHVzj3XNi4EQajG7+j4eS37fS6Tyn1cPrRvfRnZbO7cnroevPmwc6dPP72gZCxYVnrUbYpxVo/UxbITRlm+EkWI+GNM561ItWk0zOaIIwnYgm5TabWJdK3x5SlRlXVduAl4DygVFEUPTn0VCApPUS0WQen7q2r1uzC3dVBSV930OMnOLsQNogZybjjWHMUGUn3+G0hs8hk42KqtSj8/vP4e/EFcu2Aw5nKCROcGX4GB+HYMXap+UEd6ukfwJ2l5fvRc/zk+/uiGmJKHSRzNdOR0fC+yeTfn6Ah32HqtcjJmCfl44VkTZbphp+KCvNjAHR2Rv9dbdyo/f3850PGbz84UqBVYNy5M+FTtdJSY7vT675s6RzOOLaXXVUz8Lu07d1ZCj39A3z7vQHo7+d3f3oxZGw4uauZg4WVWj+jG36OxxYS4JSR8MYRrUg9I/GMJgjCMLGE3CZL69xZSkJ9e1TDj6IoVYqilAb+9wCXAzvQxOWGwGqfBR6P+ywCOJ11cOLe2mRS0UtvNw5inBzTY5HF2ardjlhyFF1/djWuQLJXl6Jw/dnOK+YIQjQyzbg4klpkFHPQEiv3BKpr6US13js1/LS2wtAQDx/qD+pQW48fPYVYsKqXv5dHN3ltDdNqFK9RKx051trFLQ3PkD04ENJu9xkTNZhn2u9PiGS8focjqUUQfcyT8nwv+pgpmsBEo7kZKiqo33Y0UjtycrRQ/M7O6L+rTZvA46HeVxQyfnu5pAaAzQ+vSew8sf6oxnan171uwRQWtOzjvUknA6AAQ2g6r3sATTr0QXB996CfCSfaOFxcqWmwRahXshgJb5zxqhWpZqS1SBCEUIz987Klc1i1ZpfpuPiSuVUoyThggjuJWs4dmAz8UVEUF5qh6G+qqj6lKMp7wF8VRbkbaADuT+xU7GcdYh3ATCn1MHW3VkHikCHHz5RST4jHj5Nj+sKyOJ/l3cEPXvg1N376RzGdk358JyU46xu8PLrJy2BglDGoqjy6ycvCGeVi/BGSgv47clKKNk0YMS2C4dLkS1auJd/fR292qOEnqvV+wgRn+SYClW6a8kpDmgeHtHvf73Ljz3KR7++NqocdvsiSziH7tNCRa5vf4+7nf0ljyURePensYLvVZ0xGCcsM/P0JYYzj73BEtcgJul6lhOJizTPR59MSDsfLsWN0FZVZa0cgiXTU39XmzbBgAatefD9k/LavfAqduQUceO5lzlrxrfjPE2stDW93ct3XPPMWS7va2TZxFqBl3tX1/f2KaQDMbjnAmjnnAzDxxHGyUGkqqtI0OMWhXiNRGn4ca0WqSTstEoTxiNm4+Nn/dz+ez3wE3+RqHt3kJcGpE2A4uXO82hnV8KOq6jtArUn7B2ixpEnD6axDfYM3auexbOkctv/jrwAcLNUMP25XwD3q1aKgy7GTY7oUJWiAATj70A5OP7qXGZ0O83eEnZfxhwHmsx7JNIIJghUpfVhIMiOpRUaWLZ1D4W/7grl2IPpMZX2Dl/4DfXz0YBMfWbnWfoAbMPy0FJRa7s/nziPf3wtonUnN8qepNmifrolOOhUzHbllivZ3cleLo8+YLH3KpN+fYM54/A5HS4tGDUP+nYQMP83N7MVjrR2GSTnL39XQEDQ0wD/9U8T4TVWy2DrpFE7e/15Iu5MxY/g6JR437SbGH1NjyMCAVlXs3/8dTjopYvHLf13DUuDdgOHHSE+Oh4MlE5ndMlyGfnKnNj49VjZB0+CywDWPw/DjdLzsZFyaKONRK1LNuNMiQUhTwsfFWUOD/OzhH1J/8B1+dtXXHBVecUrKkzuPFE5igOsbvCx7eGtoObSHt5qGGUxtP8qJHA/teYFBi/5UZBhclHjM47iN7YNhPr8VPe0AlAb+xoLTEC5JhCcI6UFdbTVzirIYys93FEaha9T+7EKK+n20NLebapQeKvXNnz4HQEt+qeU59LhzgyXldfRSkHfUbwuGOzglXEcWDHUAcIq/09FnFH0ShHGEIf9OQjQ3czinyHRReBi+JXv3auucdZbpmHHrlNmc2rwfejVDuZNwfrN1ug151nQsjSG7dsF998Gvf216ylP2vseAksWOqhrT5bsrp3OKwfAzJWD4OVxUycYDx7ngV5sYQuH3T24yHetahd0aP1dR7wmy9+21TJ9gDG12KUrQGCfl1gVBEKITPgav6m4jd3CAgtZjjsbG+e4sshyGcVnZLpyQVoYfJzHAK57Yjn8o1BDjH1JZ8cT2kLZVa3Yxpf2oltg5YGTxD6nDyZ0Dgwv/YGgYV3CfhnbdSKNT2aM9JFX6Yh8EWYVwSVUvQUhfKvBzzrxpjsrm6hrVml+ibevriNAo44C8slubxQ33+HG7lOCDh8/E8AOay+dfNjRaziSEa5dOhI40ag8dX5rpdvQZRZ8EYRyhl1pPNMFzczN9peWmi8LD8C3ZtEn7e/bZpmPGnVPnkD00CFu2AM4SF1uV2S3My3aWNymgnzz/vOkpn318P3sqp9MXlidOZ0/ldE467g3mWJsS8LxsLKjkwfWNHOrsozOvAKW93ZHRSl/H+Ln+8x//y0MPfc8yaXNdbXXweurj01RU9xIEQRhr1Dd4I1LvTOnUdHxKn3XBAh2P28V/X3cGH9xzJfd9ckHU41nZLpyQVoYfJ4nyzFxvzdq15M5HQxI76+0UFQUHF9395g9MxnZrj5/YDT9S1UsQMpDubigocLSqrkWtAQ+eiu6OkHYI1YHK7nb6XG46cwtwKUpQ+1bdcCarbjwTCA31CmfIIr5LAX78iTOd6Yj+4HLokKPPKPokCOMIY6hXvAwOQmsrc8+cZa0dhrGZJZs3a4mgTzvNdMx41Zeu1dYL5Fdz4p1otU57jz9qIRFgWD+3boUjRyIWn9W6j52TTw5pc2cplOW7UYDm6SeTMzTAjLbDAEzubKEtrwhfTl7QUb0jr5CS3hOOjFY+/yB3Pbl9eAZaVfnQ/gamdLXg6e+1/LwjUd1LEARhrGGWakFPnXCKesJ0zKwbinRbB8CSlWu5dfWWqMezsl04wUly5xElWTHAU0rymNpxlPXT54e2l3qgr1h7kBt0duGqwxLfVQQ8fmqGumM+L6twjPB2SYQnjARO4v8FYjL86AQ9fkxCQo0D76qedpoLSkFRGFJV9q28MmTdVWt20ePOw2Nh+LFiSqnHuY4cOKD9dWj4EX0SdERDxgHJCPU6fhyGhpg7fxb3XDDf/DdTXKyFTdmxeTOccQa4NVd30zFjdXXQ8OMkcXHCyY0bh8O0eOEF+Mxnht8fPkxeyzFmff5DVJd6zO+TTZPg4R8xu+UAeyunMaXzGIeLK0MOoRt+ILT/sBpTtvUMTzTMbGti4gmtFPyUzmZ6T54NRN67VvtKVgivaIUgCOlOPDplppF6rraitpaoY+bwxNCpJO0MP9Eoy3eHdGjGdiPfWzyRon5fSEWv4KzSS1u0hhMnHB0zPPGdPoN/SWXsDlPhiaKN7eFIIjwhlSSjMtO4IQbDT5aieeHooVt6aKgxdteYOLSyuz24rlnc7rKlc+j7bR75fT2OT9fofRNVR/x+aGrS/ndo+HG0X2HMIxoyTtBDvT7/+dDkzh/+MPzud872ESioQVWVtXZEC/VSVc3wc+ON9sc699yg4cdJ4uKEkxsfPAjTpml5hZ5/PtTws3kzAGdccynrLrjAfPtTT0VVFE5rO8SzaKFeTUWVKAynpuzILaS0V/O4MhqkrMaURhY3bgv+P6u7mY8tvdr03rUikXwSOqIVgiCkO/HqlJnhPFgspaMDenttx8xm3papIq1CvZxw59XzcLtCjSRul8KdV88LabuySJsd754yLTJsTB/EOJy9CnEnVlUqfe0AzCL2WRCrDjpaxy0IyUbcuh2iqjEZfvTQq3CPH2NIltHOW9ndHkzsbJaSp662mpk1Eygc6Hd0/GiJmSPwerVKOaecAu3tjg3igiAaMk44+WT47nfhmms0Y8+HPwwlJfDoo873YTD8WBItufP+/Vplq7PPtj/WOefAnj1w/LijFAJO1rGlsRFqauDyyzWPnyFD/oXNmzVhP/NM6+3z81FmzuS63HaqSz1M7myho2oyNy+eHgwP6PAUUdLbHWGQcjJ2PK/xHboDVSm/NjObutrqmB40LFLFxYRohSAI6U68OmUWyjW1u3X4TaB6rxUjWRgl4zx+HIcY7NsHwMpvX8vK8A43gXj1wn4fuQMBj6OWFvuVTQgPGzO2hyNusUIqkcpMDunr0wbyDg0/+j3e487Dl50b9BA03uPtBq/Fqu42tk06OaLdyJQplXBgj6XHo44CrFt+aUhbVB3RwxTOP197WPJ6YU5yc/WIlo1NREPGCS4XrFwZ2rZqFXznO9oEmj6ZZodu+JkwwXqd4mLw+TQvRLeJl0nAe4azzrI/1rmBKtYbN8IVVzjyTkzIg7GxEc47D664Av7yF9i2bdjQs3kzzJ5N/fudrFrztrUGzptH9d69rPv3RXB7F9dfex7X181n4YxyVq3ZRUdeAWX9JyIMUlZjyiCqyuLGbfzj5HP5yO43WTDYDsR2j1r1S7GQLK2QvkQQhpH7IbnEo1PGRPq6B2Z1qYdzXd1a3zk4qBl+Zsyw3IddqG2yyTiPH9A66KgJ9/bv1/7W1EQuM3j8WM1kGNuNVRPKDfk6OhqbYj53p0lRnZQgFYRE8LjNb3+r9nFLdyCXl0PDT/AeVxRa80uo6GmPuMd1V31FHaK8p4PmgrKQ9ggKCqC7mzuvnhehH0bCt3ekI0bDD8QU7uUE0bKxi2jIOGbqVO2v1+F97NTjB6wn5TZvhuxsOP10+2MtXKj9ffttZ+eWCENDmmZOn655/ACsWTO8fPNmDs6cG10D582D3bvhgw+099OmAcPj3Zs/soDyvm7qFkwJObzZmNJYEXLW8UNM6G7j7ZNq6Z9SHRwbx1KBMRnVGpOhFdKXCMIwcj8kn1gr1hq/A9A8MPXxfvnxo3DaadqKJkn/jZjpuB2JOGGO3dHZvn1QVqa5I4djGFzcvGi66ebGdqPrlz57f6SwnL4jx2I+LacuxeIWK6Qa34B5OUCr9nFLjIYf4z3eWlBCtcksrS7yZb4ustUhWgpK7XNKBAw/+r7Dc5qB1hF4230sWbk22PFb6chtf9s6PDjQEzufd572N8mGH9GysYtoyDimOqBnTvXiWGC8VFFhvY6hbHx9g5clK9cyc/nTw5q2aZNm9MnLsz9WSQnMnRvM82O6r2Rx9KjmoTR9OkyZAvPnD5d1b2mBxkYeVyZF18B582BgANau1d5PDxublpVpx9H7owBmY0q9ImR1qSeY3+fCL99A4ZyTg3pvajDKUiJSKSSrWmMytEL6EkEYRu6H5BNrxVqr7+Anz2yHw4eHJyGiGH50HTfL92vGzYvNbRdOyLhQL8fs2wczZ5ovM3j8LDzpNB566yCDhgQcriyFhTPKg++N7leVAY+f3ZUzWHRwm5b/I8YAaCcuxeJCL6Qaq9QAkm4qjBgNP2C4x1+frSVODrvf9fv/kT8+B8BQ1QT7nBL5+dp5qGpw37p7qbfdF5IE1JiMzkovBlV1OGFdY6M2C39yoNxwkg0/TrRM3JUzE9GQcYzu8eNQLz54bx+VniLO/I/nre/xwNhs7YY93L5tIDTB5qPv8NG3NpL78Wudnd8558Dzz1O/+RC3//3d1CUV1j0mdUPNFVfAz38OPT3Q0ADAGyXmg/QQbZwXyFP57LPa34DHT5DywJi0rQ0KC0MWWY0p62qroeE3UF3N5dcsgadq4Mknh5cRmTbBrC0Z1ykZWiHjYkEYRu6H5GOmi5fMrWLVml3cunpLhCZajrG9Xk3czj4bfv/7qDl+9GM7KeUOhNgoYmVsG36s3IENs0qr1uwKMfoADA6prFqzK/jFGh+q9FLueyqnc+H+Bi0Rqu5BlEQSLi8qCFGIpcLcuCYOw0+QCRNgyxbTRXW11dQdr4Gfwg//+bII41AIBQVaJ9LbCx7P8Pa11SxZuTZCK/RZH7u4YX2dugMHtNhjj0ebjU+y4Sealkm1l8xFNGQcMyUQcuQg1Ku+wUvuu/tQPcUhIQkQdo8HxlJ/W/sevtJZIfsoOX6M3LbW6Pl9dM49F/78Z/74t9fxETpGC2pfMg0/uqHmiivgxz+GV1+FrVsBOD57HvRFbhoynps7F7Ky4JVXtMnE6rBzK9PCgWlrizQKWaGq8PLL2jkpipb64OhRLY+Sx2NvMEoyydAKGRcLwjByP6QGoy5GG59afQfzhwLhyrNmaUb7KB4/Ok5z/STSf6VdqFdSXHJVFQ4c4PWBAmbd/gw1y59m1u3PcEd9oKSlbqjp7HRkMTV2VXqFnvcrAh2vHreeZC6Zax4Hb9UuCLFy0yLzwaNV+7glUcPPsWPUbz5kqmsb178HwGUP7LTXO/3YPZEl3e00LJpeNLX7tAcXfbZ66lSObH8/qWERy5bOCeab0HFnKSGzy+KunJmIhoxj8vI0T0EHhuJVa3ZRcqI9WOkQLO7xwKSc73h7xD5OP7pX+ycWww9QvWOL6eKkzYqHe/x86EPatVmzRstJNHMmC2tPMt00RJ89HjjpJOjtxVcxgSU/fi1Ug42GHxuMY+ibv/V7LcTu4ou1hXpyUT28Nwk4HbMnQyui9SWCMJ6INSxJiJ1o41Or7+CLNQG/mmnTYNKkqB4/uo46TfCcSP+VVoafmBJV7d+vlR4248gR6O1lTU9+cIZhUFV5YH2jZvwxGH5iTeRU0dNBR24BR4oCcepxVPZy0lG+tNPcoGTVLgixcnfdfG5ZPD044+ZSFG5ZPJ276+aP8pmlGQHDz5cf2RG7MWTCBPD7+e+H1kfo2h3123jxZc0Y3VxQaq93uuEnLL8D2Ceji6YXU0rytAeXGTOob/Dyak8urbs+SH6ywPBJXcN7cVfOXERDxjlTpzoy/DS1+6joaee4wfCjt4cQGJtNzx6I2Mf8I+8zqGTZl0U3UlsLEyZw4951pouzFCU5uX4OHtTOW88n6fHAhRdqeX42b4azznI8njs8VfNy2ukujdDgl44GKmsdP255KuFj6JnbNwLw/IRTtRX0Yid68ZMEiWXMnjStsOlLBGE84TRnrBA/0canVt/BOa7AWH3qVJg40dbj5476bdy6ektMVb0S8epKq1AvO8tayA/50CE44wz41Kfgt7+N3FGglPvBkokRix5c36h1NLm50NXFsk/NCXHjgkiLaZYCejRYZXc7LQWltHkC4WIxevzUN3hZ9shW/IPaDr3tPpY9orkDGz+jPAwJI8HddfPlIS0Kb717kHOBA33YhymYEShdXNBxHMqH1/X5B3low0GWdR2nz5VNZ25BsN3UhdPG8LNsqbWG2cULe9wuvrd4InR3sy2rhGWPbGVFQTnzDu0MWS/RsIhVa3YF9U7HPzgcTivuypmNaMg4prpaM3xEYUqph/KeTjZVnxbRHkLA4+e6U4p5ZMgVomlnNO+l+6RTKM7Pd3Zubjd85jN86Kc/ZcoVXTTlhIZ7heQ5S+RBSfeYNIYsXXEFfPvb2v+f/7zjPGdH/KV8FWgqrgxZz+cf5OdbOrkEbD1+wsfQ5zW+g7eoirve9XHF1Qwbfkw8fuLJs+Z4zB4gUa2I1pcIwnjDSc5YIX6cjE9Nv4PfGyYEJk0KFhoIp77By4PrG4kMgrVGgYS8utLK48exsePrX9fKfW7caL6joOFnUsSi4MUtLobOTkcWU2MKoIqeDlrzS4ZdlmP0+Lnrye2mHdddT24PaYvVE0kQhNTwwttaiEGPe7iSjONQpIDhRw8RNTKoqpohOb8s5KHBVAdtDD92GmalFy5F4Z7r5nNlqTaL/IdDg/gHVQ4XVVLh6yR3oD9k/ZgMzn6/o231dnFXFoQMZepURzl+ll1+CmW+zpBQL9N7PGD4qS11RWja4vYDFJ9/bmzn9/nPkzUwwG+Unaa5ZJISUtrYGJlzZ+nS4f/POsvReG7Vml28V67t53BRZcS6e/oD87Q2hp8QrVVVFjduY/2M+TR19GptkydrBrEwj594y0KP9ASlTIgKgjCSxD0+PXhwuF+YONEy1GvVml0xGX1As2MkYuxLK48fRzO/TzwBf/+7diG3b9fKX2aHfYxAp+YtsclvUVSkGY+IbjGtNpxXRU87H5RPjdvjp63H76jdbhZfEISRo69D0wmfO7SEsKPBpm746e6IWORSFKq622gpKA1pN31IsDH8gLWGWelI0Lhd/zYAu/K00NUjgQeOiV2tNJZNtj8nM955Rytf2dAQrFITTdetqsvILJYgpDlTp2qTX729tiXW62ryQR1isKICBazvcb1aVWBSLrj8yBG4/ajz/D468+bBuecy//lHGfrYQtMKrAkbDRobtcot4cedPFkr51tby7KJA1HHc03tPoortTxBh4sjx67FE8rB5bI1/Bi1dnbLASp8nayfNn9Yv10uzTspzPATq+eO2fHC21OBeIcKgjCSxD0+PXRo2PAzaZJWCKq7OyJXaDz9T3WCepdWHj9RLWsnTsC//ZtWreuee6C/H3aZzNbs20dLQRm97siBSEFOYP8Bj59Yz0v3+BksKGTQnZOy5M4SuykI6cHE7CEg1OMHHA42A4afyX2hWuNxu7hp0TSqetppNhh+LI27UQw/VkTVkUBi0qbAg4Y+0zzpRGv0czLj5Zc1jx9DJTMnMyZ1tdWsW34p+1Zeybrll4rOCUImoJd0j+b1ExgnffPTF9jf49nZkJ8fnJQLsnmz9jfcwOKEL3wB3n2XS7vNQ9ISMhr4fNpnmx5Wrl1RoK4OZs+GiRMdjeemlHrYWVXD/7vwn3ji1AtDdudxu1j2kblQWmqb48eotYsbtTC2zbNqQ/W7pibC8BOvJ81Ie2uKd6ggCCNNXONTo8fPpED0kYnXTzz9T6J6l1YeP1EtaytWaBfzr38dTtD8zjvBmeUg+/aRddJMXFlKSKl2V5bCf308EF9s8Phxel4/fvY9yns66S+v5J7rz8D1+8qYQ71KPW7afZFeP6Uet+lx5QFIEEaXy6ZpRpded06wzfFgs1IzpHxyRi4vlHoidM335W72ls2xnwWHuA0/EEVHGhvB42GovAJ6B4JJ6yd1abqmKMRmcG5o0P4a8n6IR48gjFF0w8+hQ1rZWiuOHdP+VjmoSmo2KacbfhYsiPkU+dSn4Jvf5PvH1vNG2czkelHria3DDT8A996rGYYCRBvP6d6ZvzzvEyHtpR43K66Zp21bXm7r8WPU2vMat3G4dCL//oUPhx53xgx45pmQ7eL1pBlpbZe+RBCEtKevTzPy6P3jxEC+4SNHtMqNBsy88u0oy3cnrHdpZfgBm85xyxa47z74ylfg/PM1bx+3WzP83HRT6Lr79lG+eDE3nTuNhzYcZFBVcSkKN507bXjfxcWaG24s51Xthu+rfOG6RVBbrQ1iYvT4WXHNPJY9vBW/wSDlzlJYcc08m60EQRgt5ha7GMjzMKWsIPbBZk4OlJWRe7wFZoQtGxrC09bC1V+p5er/utJ+P3pC0zgMP7YcOADTp7Pi2tNZ9vBWjhRqhp/JXS24sxRW3XhmbJ2M/oAWlvBVjNiCMAapDtzT0Sp76eMkJ4Yfs0m5l1+G004bnvCLhZISuP56Tnr6CX5063/wo1cak2c00Eu5h+f4Aa2ASG6u410ZjRredh8uRWFQVSnINQzTy8qilnOvq62m7szJ8D+7oO7qyM9XUxOsfKuH5yWSWmCktV36EkEQ0hrdAzbc48ekslddbTUbDxwPtVUs0rYzJn3OHhzAnZfLnVcnbitIO8MPoJVpVw3pjlQV/vmfoaICVq7U2nJy4NRTYevW0G0HBuDgQXZdfCWr3zoYUs599VsHWTijXOs0iopg9+7YzkuftQqEb1AZu8dPLDMW8VRZEAQhyXR3k11UyLrllzrexHjvrnUVsPOdvXhnajOqeuLMnLbjfGxwcHg2wI4EPH5sdSRQkcaoS525BZzc1xG70aevD957T/vfQaUfQRAyHN3w4zDUKy6Pn9ZWzfDz3e/GdYqAFu714INcs/9trll+U/T1naIbfsw8fsJwMp7T3xuNMCFVJB0YfgDNAN/ayg+6J/H75U+HHk+v7NXYqIWiIZ40giAISUMf/xqTO4NpqFd9g5dHN3lDbBW6wafU40ZRtBzAb//iM6w+43JWFfwrMIaSOwc57TRzb5y//EWb8dA580xYuzZ0Ha8XBgZY3eLCPyGsetaQyoontmsXzDC4uPl/32Td3uG46SWzynnwy+eFbHtH/Tb2r36KB4Cb6j9glnsbd1dVWVcWs8HJjIXTsu+CkAh31G+LsDRLaeYwuruHPW4coFdI0Qfux/JKKO9uD1nH5x/k/kfe5GPAv/2jiYaetbYD7Sff7+Bq4J5HNrG65XkUBdp7/JTmu+n1D+Lza3mIyvLd3Hn1vOB+ws8lohT9gQNw1VXB93W11fBADTdOQvNqNNLaCt/5DqxapYUchPPuu5rh3e2O2fAjRu7MRTRkHKOXq3Xo8XPR77bReKLB/h4vKgo1/Dz+OAwOwvXXx3+eF1+sGTx+97tID/EYMWrV9ze9whcVBaU6+njOVocN2CZaLiuDvXuj6uWuX/6RWUoWj04+M1ilKzh+1A0/+/cHDT/6eTjVXOPxS/PdqCp0+PxRtVu0QhDGJjKGM6D3h7rhp6pKy5tw5EjEderuG4jQe91yoaeF8fT3UtbbRYenCG+7j2/9bQsQvy0gPQ0/P/hB5Mz2tGnw8Y+Htp1xBvz5z9oDSYUWoqCXct+Vbz6zFMyvEzD8hBt9ANbtPc7N//tm0PhzR/02HljfyNXd2kzLMU8Jb65v5MpOhfPCPH6c/Pj1dWZueZP7nrmXDU++wpUXhbpv2ZV9H7c3k5BU9N+1zqCqBt/LYMyASSZ+O8IH7q35JZzSGmkIyT2uPQw1F5TaPgjUN3j53rPvczXg8feG5AgLrwbY1uPnm6u38M3VW6i26FSCDxGnVmgzEDNmBI+zas0u/rsnl6q332N3gzf0XP7+d+3B6bzz4EtfitC6X3RvpBbgkktiMojH8lAkpBeiIQJTp0Y1/Hyw/QMq8go5cGIA0O7xWw06FTJOKi7WDNI6jzyiGW1qa+M/x6ws+Nzn4K67tH3PCI+7NSdc4y6ZW8Wjm7xBrSo8dpjmgjLeeK/FVqtiqZplm2i5vJy+ltaoepnzZD1vTj+DDs9waFxw/Pj5U7WG/ftDPl9JYHa5vcfegBOu18Y+yE67RSsEYWwiY7gw9IlPPcdPdjZUVfHW+h3c2rclaNgxy6tmhl5sRU/FMKTC9x57J+5rm1ZVvYJ86UvwjW+Evq67LliKs77By5KVa/mnt7WL9vqj/xjeNmD4OVgSJXyiqAh8PtbvMc/RYzQGPbhB65wqerSSzK0FJQC82ZmlhaX5/cHzuv2xbXjbfcFZltsf20Z9w7AbtHGdiz7YSGVXK3+9/5mQdcB52XdBiJeHNph7ZVi1j1tiNPyED9xbC0qD2mGksqcdIFjOXX8QCGfVml30DKj4snPx+Pscn4e33WeaSF5f9ok7HtbeTJ8eokuHiyqpaG+O0C5eeUX7+/LLplq389lX8RcWwUUXaZVnenocnafdQ5GQ3oiGCFRXRzf87NhPq6c4pM04+A3RGmOoV3s7vPii5u1jUoo9Jj73Oe3vb36jGbz1V2ur6eq617VR4x5Y3xiiVVM6m2kqqrTUKn2sajXANzPyWCVUnlLqgbIyXJ0d+PoHQpaF6OWOHcxsOcSaOedH7KOtxw9TpkB2NrvWbwvR8Hafn7Yef/CzfnP1Fhbc9XzE2NRMry3PxYBohSCMTWQMF8bBg1oFxsLCYFNHcTnt+w6iWm9liV5s5Uig6i5AT8DLPx7S0/Bjg/GBY0fVTABefXTtcOe0fz8oCp2V5oafkHLuQEF/dIubnm6ooqeDASWLjjztyzyuD2QCAwcnP37jOqcd+wCAKc0Hx+8NIowag6q5BFm1j1tiNPyED9xb80so93XiGgrVhqpA+FdzwXD4qtmDgN7W484l39/r+DyikX1IM2i/3ucJ0aUjRRVUnWjD39sXqkuvvqr9ffllVj23M0Lr5hx+n21VJw3nu7AI99IfhmYufzrmhyIhvRANEZx4/Hg6jnM8v8Ryecg4yRjq9dRT2sRaImFeOjNmwGWXwT33aMk29VdlJfzpTxGrm3ldh1Pd2Yy3uApvuy+oZ/pY1DhWtcLMyHPJXHNv9UvmVkFZGdlDQxSajFuDevnYYwA8f/Ii84O6XDBtGgc2vxe1kky7z8+yh7eGGH+czFKbabdohSCMTWy9FMcjxlLuAXZRQNUJB/nZTJgcMPwcDlTdTZSMM/wYH1CaC8tozi/l5MN7hwcN+/bB1Kn0ZZlHsQ3pnUygOkRhv7NZaYCKnnaO55egKtplCw5kAvHrVh2isT34v6oy76hm+Jl53BuxrVl5d7t2QYgVl8UMqlX7uCVGw0/4wL0lvxSA8p7QEsWV3e30ubLpzB3et9mDgN7mc+cl1fBT3anp1k/f7w/Rn8NFlWShMqH7+HD7/v1aMtDTTwevF/f+D0L2lTU0yKnH9tNQUTPc4ZkYfsw8hax+bdFKCQujj2iIwNSpWrUSv7U38sS+LlvDDxgeEoqLh6t6Pfqo5qGyyMKIESu//S388pehr/nztfQCA6FeNFG9q1WVyV3NNBVreh/u5R3NM8btUkyrZr2009wL/aWdzcHcaqW9XRHLg3r52GNsrp7LMZOHBJd+W9bUUN7irKqtnhtzeB/R720z7RatEISxia2X4jggfDKzffcHEYYfb25x0Ms/ViZ1BUK9xqvhJ9yCuLOqhrnN+4fb9+2DmTODyU7DCbYHPH4K+5wbfip7Omg1DF7adI+fQJ6fWDq2KV3NlPaeAGDW8ciKGFedOdl0X1btghAreslAp+3jlhgNP+EDd10zKsJEv6q7jZb8smAIg1X53GVL5+Bxu+hx5+HpT6bh5xhDKGxVC0PadXfSSZ2GEIiAt89/zNfyrJ138N2QbU467sUz0EfTzLnDHj+NjYRj9jBkNd/rbfeFzKAL6YdoiMDUqZpbtEmpWp2JfV20RDH8BB8Sioqgv18LF33uOS3MPytJQ9WZM+Ff/iX09cMfwt69sHq15WbVHcdQ1NAxZWlvF/n+vqDhR0f3Xoo6220hfLaz54HiJhMGIsetPf0DPP/0eti8mWdPiQzzAhhUtYcUamqY0XXM/vwMGEOGo3noWPVjohWCMDbRx6hGrHRgrGE2mTl08CD7PKEFUDpLKqjqbgutWO6QyV0ttOUV0evOS8o5p53h5476bcy6/Rlqlj/NrNuf4Y76bSHLS8I8XnZOqGF2SyPlOYGPsn+/1rlHI+jx49wVraK7PTh7D9CaHzD8BDx+YnFl1b19jhSWM9PE8GM76yMISeDuuvncsnh60DDpUhRuWTxdEi2Gk4QcP0BEnp9JvR20Fw2HeeW5zeW4rraae66bjz83j/wYcvxEY0pnM8cKy6iqCM29obuT6u6lAAcee4b2vEIenLqQ5oJSzj3wTsg2847uBaB0yTlc9OBuhlD4v7+8GmG0idX11yxPmpA+iIYIwQSWVuFeQ0N42u1DvUIeEgKTcqxeDb29vHbmRSGzqfFoQfiMbMg+rr5a8/r5r/+CoWHjju5dfcG+Bl779Rf59JbnAMh3Z1Fd6gl6TDYVRYZm6cmg7fAPqdz2t60R5xQtxw/AtxZOiPD+buvxs+mnvwdgzezzIrbXuf2xbezILaeqs5UCdcByPSuqbT5XdamHe66bb5p0NNlaYfudCoIwYuhj1OpSDwr2OjCmGBqKSHuQ6++jvKeT57tygm31DV6aPCXkDfTHZHPQmdTVkjRvH0gzw4+e9d9Yz/6B9Y0hxp9w55kdE2aSN9DPjDYv9PVp5dxraoZz+YQRnuMnFo+fip6OYGJnMIR6BTx+rDpEs/bTjn7AEArPzT6f6e1HIvJ/OAkbE4REWTijnEkleSjApJI8Fs4wKdM93klCjh8I9fjxuF2cNHSCZoMhua3Hb2vk6M7OxZPEUK8pnc0cKZkQMSsT9PgxGH6yXn+dt6fOYyjLxfpp81ncuA0CJXkVYFFHI/6cXH5zLI8DJwZoKSilsPlwxOeJx/V3XCcJzABEQ8Y5eilzK8NPezvZ6hDHPeaGn4iHBN3w8/vf01teyVf3eWwLZkQjatGNrCz4/vdhx45gfhyAFdfMo8TXxf88cy9ZqNy47QUA/vu6M1i3/FKe/ngNQITHDxCsihU+Cx7OoKpGnJPt7HnA8HNBpYuC3Mh0BpfuWMeOqhoay6w9w33+QR5p1bad3OHM6yfLMO5etnQOblfoQNztUrjvkwtYt/xS24e9ZGmFk0IqgiAkFztja11tNeuWX8q+lVdG1YGRPK+UHXPzIQ5OmM61z4Xmh9MnTHdnD/d3q9bs4qinFNA8/WNlclcrhw2JnRMlrQw/TrL+t4fFXe8MJHie0rhHCy1QVZg5E7fL/KMF2wMeP06SO+tU9LTTanhQa88LlMoMePzUVJg/1BjbPYFZ/XnHPuCD8mq2TzyJnKEBZnWHloWXeGgh1cjgySExGn7CB+66l+C0/q6Q2RB3SzNHwx6GrIwcdz25nRPZyU3uPONEC5WnnUJdbXVQlwA6cwvocecyuatFa29qYlqrl/XTTgdg/fT5TD7Ryoz2wwypKvtWXsmns1vYM6GGEwH7dVNxJVM6myM+j5OHITPGbZLANEc0RAh6/HgtvvPA+CjoIR1GxENCYGzG22/z3MmL6A5LkxOrIdhRxZkbboDZs+Huu4Ou+Bv3t/Lfa35BeU8nj5x+GQsO72FWy0E2HghUfA2Esh6vmBSyb91IY5wFd4LPP8hdT24Pnq8+1gsxjAVy/HD8eIQmVna3cc6h93hutnmYl5F33ZoBaVLbUUfnNhTutB7tvQnJ1AqpIiQII0u69vWjcV71DV7+58+vMa3Vy+c2PRniuKEbfvqnDPdpTe2+YBGXeAw/msfPGDX8OAmVKs0PdW99v2Ia/iwXC9oag6XcmTmTDosyxsF23ePHYXLnXH8fRf2+kBw/A65sbQYm4PGz/gPzL9TYfs91Z5AFnHZ0L+9NPIl95dqP4665obM3UgFBSDUyeHLAwICWbyIGw0+422vRxEqGsrNZdlb58GzImZMpPdFOc2FZxPbhA/r6Bi9tPX4tx0+SQr0UdYhpJ1qYumAuMKxL2kKFw0WVTOpqxecf4j9v+yUAbxkMPwCLG7dpHjyqCg0NbKkYDrFtKqoKdoDGzxPrw5DOeEkSmGmIhgiUlYHHY+3xEzD8REvuHKR42ED0WI15UudYDMFW63rbfcMPBy4XfO97sHUrPP00AL77/8CVu9bxkw/dwo8u+hwDShbXbV/Lg+sbWbJyLb/580v0Zbu55EOnWYY46LPgTmnr8Qe9ugdVNcSIBAQ9fmhri9DEy/dsIAuV50zKuIfjn6rlYavudObxY9TrVWt24Q+zBPmH1Kj3fDK1QqoICcLIkq59/Wic16o1u5jYrPV3E7rbuGTvxuCyKZ3auPeaq84dbiv10BJI+VAZqObrlNyBfip7OpJW0QvSzPDjxMsl3O7Rn+1mb/lUZh/5QMvvAzBzZvQs44HBRVGfs46iwqfl5zDm+AG0UqAx5Pipq63m5x+ZwdTOZt6beBK+mpMBOG/weMg2sYSNCUI8yODJAd3d2t8YDD8Q6vb6+vc+TFZVFRwbHmQ/8/J23EODkXpCpJFD78B8Dg0/4UlIzZju79JCYwOJmOtqq/nJJxcE9eVIUUXQcHPKrgZO5HjYM2UWAHvLp9JcUMqSQ+9q4QcHDkB7O96Zc4P7P1xcxZTOZlDViM+jX5v7PrnAkffPeEkSmImIhggoin1J96DHT6mz/ekeP2Vl7D/D3PATiyHYbl3jzPDjp16Et2wyDV/5Njd850FWvPBrNkydx2/P/TjNhWW8OvMsPr79JVCH8Lb7mNLZTFNRJY9ubmLZ0jm2IQ7xjtsiHmDy88Hthra2CO/JpbvfZF/ZZHZVzrDdp8ft4rM3nM9AVhZTHYZ6GStV2hnS7MIskqkV472KkCCMNOna14/GeTW1+5jZ1gSALzuXT77zfHDZHH87AJdfsTAYguZt99ESp8fPhBOabWDMevw4yfpv5smzc0INs47s0zx+3G6YMiV6lvFgqJczj5+Kbs3wY8zxA0BVVdDjxylXDmmd7fLvfZqnf/hxKC2F3btD1gkvCR2tXRBiJd8iD5ZV+7gkTsNPBBMmwIsvwne+A7/8Je/+/HcAwVkAHQUijBx6B9aT4yzU6/+rX8nTv/8609usy/VO0/P36BW4GDbIVJd6OFJUycQTWlWvRY3vsrH6NPLycrWEoorC+mnzWRTI80NDAwDnXHdZUHObiiop8PcycdAX8Xn0zvDW1VssE1rrREsSKAk+RxfREAHQ8vxYGX4CBm+zUK8ss7k+3ePnmmv41sfmJVwtxi68VDes1Dd4+Xb9e/zi3OupPbyLe397GyoKt131LYaytG0fO/1SpnS1aPnN0Fz6m4qrHM0uxxviCmGeSYqief20tQW9J12KQnHvCc4/sJU1p5wXmQjTgEtRuOe6+Vx7zgz6JlVHVPay2tJYVMTOuGIXZpFMrbDKM3TJ3CrpD4RRZyyOS9LV2Doa5zWl1MOMtsMMKFn8ufZjXLL3bapOHKe61MNXTsqBykrqdx4PhqABHPcUMaBkxezxo+faHLM5fu6um8+SWaHJ3pbMKg/J+m/2Ze6smkl1VzNs3qw9yLhc0bOMZ2eDx+M4w7aemDVi1srg8eOYLVu0vwsWaJ307NkRhh+p6iWkmu7+wZjaxyXJMvz80z9Bbi787Gfwr//Kd+rvAyIrwqgQYeTQNc/nzotq+JnQ1cpHdr/JvGMf8PifvsX5+7eYrlfUHDAKzYicHfa2+zhcVMnEE8ep7G5jdmsjG6afTrvPT9+A5k20fvp8Jna28Kv7n2fXM6+Ay8XFN1wW1NwjgYSn95xTGvJ5wuOx23rMQ3JBy4dmlyQwXWPOxxOiIQLgyOOnzSS5c262yRB0xgy44AJevuwG+3w3DtHHglY0tftY8cR2/EMqj55+GYcLK5jWcZQ7L/8qh0omBtd74eRFdObkc/27awECHj8Tgvtwcg7G8egti6eHvA+v0mUkRNfKy/F+MGw8z8lWuGTv2+QMDbDGJr+Px+3ix584M3jtCmbP4syB9pAqW1aJBIxFRaxyWepYGcKSrhVhJzs4qLL67YPSHwijylgdl6RryfbROK9lS+dwcsdhDpVM5C8LPkK2OsSn3ntJO+bBgzB1akQImqpk0VpQygQTj585zfsp7j1heqzJXdoEbDINP5FlAUaR+gYvmxtDSx5vbuygvsEb7KyWLZ3D7Y9tC7mgH0w+SfvnpZfgoouC7XW11fYDhKIixzl+Knv0UC8Tj5+333a0jyANDdoMWVXgoW/2bHj55ZBV0tWtThDGFcky/HzrW9praAiOHOGrP3gE3/F2NlfPDVnNGBJQ3+Bl1ZpdwUF3jzuP3EE/WUODwVnocK7a+TpZqHz+hjtZ/vLv+dPf/pO7L/0Sfzj76pCZYD23w9Pt2Vxp2L6+wYuC5lbqHhrko7vWAbBh6um4FCWou3qenwUfbKFl31vMmTsXPJ5hzV2fD4+v5NLC/pDzM4vHtqLXbx2yVt/g5ba/bY0Ir9UfOsZ8GVFBCEPXC72UeEhumFQzdSo0NWn6lhVmzGlupjMnn/7sSMOG6T2en0/9z/4aGOfZ5LuJgbra6hAtNTKl1BNs78928+0rb+X0o+/z93mXhKzX587l6bkXcM2OV/nBZV9m4onjwYpeTmaXo41H6xu8LHt4a0T+HAjVtdacAg6878V7li+wbIjr313L4cIKtkyZHdymLN9Nfk625e/hQNEEcjdtC6mia4Ux3YJVLksjqa4+a5ZnaAgYGpT+QBhd7HLOZPLvUD/3Uetj0ui86mqraR86zo4JUzlQXs3mmWfyz3vWUrjgfs3wU1Nj+qzeXFBGZZjhp6Cvh/o/3cYDtR/lvy79UsQ2usfPmC3n7iRJU11tNdefXR0ySzHr8sAsh98PM4cTjEZ1tysuptBpjh87j5+WlsjkQ3Zs2aJ5++jMmaPNlukPmaSvW50gjCuSZfjRycqCKVP4yD9fz1tzzg0xxigMh3IaZ410fNm5AOTb5Pm5ZscrbJ9wEi/NOofrbvkf1p58Liv+8Vv+55n7WHhoO0V92uep7mzmRI6H/37jSMj2q9bsQoVgIrlr33sFX3Yu704+OeTBQM/zs7hxG7O8e3g2Z0qovuohZIHKNzqxGK5LLGbA76jfxq2rt1g+qIhxXBhvjPos89Sp2vjLzPu5uZn28BD5ACqYjs1SkbDT6czwupoF/GbRDaYhU4+dfikF/l4+s/lpXOoQTcXaLGxP/0BSrrVddjZd13b1ZVPo6wq2zz22jwv3N/Dns65EVYaH9HqiaBU40tE7XI0swIs9eUzoOo570NrrUseotU4KjDipPlvU181FH2zi4r0b4dlntdfzz0NP9MnYZCT3FoRUMJYn7UezZLsdI35eqkqp9wDnXbGIfSuv5KwffJvCQwfglVc0w8+0aabP6i35pVR1t4d4ul64bzOegT7mHttveqjJXS105uTTnZuftNNPK8OPkxumvsHLo5u8IbMUf/ign77SQLWDmprgelEHQkVFMeX46XHn4svJC11QVaUNeDo7LeOjQ9p9PtixA2prh9tmB2Zp3n8/2JSubnWCMK5ItuEngG7ANmqDCjy6yRucuY948Aloj8ci3Gt622EWHN7NE6ddqJ16bj7//PHv8dPzP8UN7/6DRx78Ltvu+ySv/+rzXL3jVbzFVTR1hO5L11o9kdxC7w42V8+h3+UOTVAayPNz2d63mXTiOBvLZoTq68SJWjjtwYMh+4/FcG327FDf4OXB9Y221YPFOC6MN0a94ope0t0s3OvYMdoKSy03NRubpeLhyS78vyzfOszKyMapp9FYMpEvbXxcO5+Ax09bjz9hQ9tdT25n0MTbR0fXtWMuDyWGsIAvvV1PtzuPBxd81HLbQVXlgfWN3FG/Ldi2I7ecLFQmd0bPUWk05Dgx6jgxDn3rtQf448N38odHVsDHPqa9li6Fk0+G3/xGG1dbkKzk3oKQbGTSPrNxlJ/p2DHo6oJTTtHeX389lJTAT38K7e0wbZrpM7zu8aOnTAC4/P0NAJzSGjpJqjOpq5WjSfT2gTQz/FjN8BrbTQc4A0O8Wx7IVRHw+HE0ECoupiiGHD+mVSkqA3F3LS2WDyMh7du3w+BgqMePbvgx5Pkx82y6/uwooWuCICQXffYxDsNPtA7kpZ3NEZqha5TZA06PW/f4MTf8XL3jVQCePPXCYJuqZHHvh25h0df+wOdvuJMfXfRZNlWfRkt+KWtOOS9iMKK/N8YTvzX1dKoD7rPGjuzNGWdQHPAg2j7xpFB9dbm0cNYww49VklNFHcI1FKrXZvl/dI8kK8Q4LoxHRn2WuTowLjEz/DQ3cyw3MrGzkfCxWaoenqxmhu+8el5EsmAzVCWLp864jDJfJzBs+IHEDW32+c6Gdc1fUkZpwONnYlcL17z3Cn8743I6PEVRj/Hg+uGHi95qrWjK1I6jUbczGnKsirAYcVLFbFJXK/tLJ1P3mR/D+vXa66mn4KST4KtfhXnz4OGHTb3prYqchCcLl/5AGGlk0j5zcew5qztp6IYfjwduvhnq67X306aFJN/XaS4s1ZI7BzTNNTTIpXvfxp/lYtKJ46Z5fiZ3tSQ1vw+kmeHHaiLB2G41kNkSZvixijEOaS8qosCh4aeyp4PW8Pw+MJynp7k54vz1B5mQ9kAFnBs3+IIPhE/2BB4qdw0PGsw8m3RvAEEQUk99g5e7HnoLgE8+8E5M956TDsROo8wecHrcmsePleHnmh2v8Hb1aTQVT4hYdrSokpdmncOvFt/IN65Zxke++P/xq8s+FzIYqW/w0t03AMBxTzF9Li0F3Maa+XT3DXDr6i3kZmcFZ8fXTxtOmPreBC3PWog+T5sWYfgxm3XP7+/l73/+Nv/36A9C1jWbWbZ7kNUr1ohxXBhvjPoss53HT3Mzx83GTmEY720rA3GiIVVWxvi62mpW3XBmiC5ZsfrUi4fPOSw5f6oMbUZdm3/6DIr6elDUIT636Slc6hD3L7zW0X50E0p9g5e9Bdq5nxQoS2yH8XosnFGOy7Qc2zBOqs+W93RwpKiCLVPmwKJF2uvKK+G11+CJJyAnBz7xCZg0SUv4rb9OPpmW514y3WeJx21d0EUQRoCohYWEtMWx5+yePdrfk08ebvviF4f/D/SHdbXVDBkM1y35ZeQMDQQ9Ns85tJ3S3hPUn6blk/vXSZHG/0ldLUnN7wNpZvixmvEwtluV/904a4HmajVXS5Zq5Y4a0l5cTGGfw1Cvno7IxM4Q6vFjmJi4YvebbP3pp5jTvD+k/YMXXqcrN5+3ldLgA+F3nt1Lz8TJIR4/o+66LYx5rNzbnbq9j2V0w01vhzazus9HTK78Tu5fO40ye/DxufVQr8gcP3Oa9zOnpTEY5hUNRQktZax/3nafP7jCkaJK+l3ZbJ08h3afHxVo9/np9Q9Rlu/mg/JqjhWUcaB0Ep15hUDYg+b06RGGnwhUlVXP3MuCw7u55INNnH5kONzVLFzA6kFWgZCKNcLIIBqSHoz6LPOECVpopzdMH1UVWlpMS7mHY7y39Yen8EpXiYRUJSsP0oGyKbwzYx5teUURof+JGNo8FmNbjzsrRNfmnjaDLFQWKN18esuzPD/3fA6VTnJ8HP067Mgpw1tUxYf2bbZd352lhPyOVj/wIh/a85btNmbVZ8O7u3JfJ8c9xZETvooCV18NW7fCn/6khYBdeunwa98+Tt223vS4bT3+tMxBIowv0jUXjmDvie/Yc/b99zWvdkNqmSXPt/PuxFkAPN853G8Z+4TmglIAqgIJnj+8ZwN9Lje/O+caAM7xhXpfZg8OMOFEW9I9ftKqqpcTjLFxRtbMPAfa2oK9i1WMcUh7DFW9Krrb2R6Y1Q7B4PEDwzPtV+58ncJ+H//z9L18/DM/DrZ3b9hI84STQnpBn3+Q9wonsdBg+Bl11+1MZssWLaROsOUTu97jSOewEWHtyefSlVtAZWHOKJ5VeqAbbnTvGl9OXkyVGaLdv/UNXluNMlYqGK7qpYV6mRl+rnnvFQaVLJ6dsyTqucGw97z+8JPnzoowVL1fMY3G0smccIX+Hnz+QXKzs/DkZPOzJTcFZ5EjHjSnTdNc9YeGqN96OPhZFIZnnq975vdcuWsdPz3/U3xx4+N8fuPj3HbVbYD5rLtZVUcFuHnx9LE9uDp0SEscmE6cfTaVhTmmEzaiISPLqFdcycrSwr3CPX46OsDvZ6DcfuBqZaTq6h2IaIunQk60KoBAiK5Eq0rV8qN7+dVj6xx9BuM52H0/eW4XPpMqZ3nhnk9lWj7Lv/vehL5uHrv4U7bnaqQgxzU8KaEorD35HK57dy05A37TqmsQmXD6n576LZfufYtz/u2BoME/HLP+L7y7K/N10pZfbF0XxeWCz3xGexnoWfMi09sPm2/iIP+QIAjjE93obdT52x/T8p7V1VaHVHg0EmHQ37NHM/q43SH7/M251/H1N/7Kt99s5QdTtWrkxjFrS4Gm3VXd7bxfMY3L39/AuhlnsrtyBv6cXHa+tAHOH670W9XdRhZqMOdmssg4w49V7rshldByxRZfYMjDRHExhU5CvVSVip4OWs0qUxg8fnTDj6IOccH+Bg6UTmL+0b3884ZHgWthcJBZh/fy1zOWRuxmZ9EkFu56U+sdFYUSj3t49t2AVR4kIYDPp80KtUUvOTreuT3s/WVf+hVduQXsOdZtuv54Qh+46omU9TArp4ZXuw5E7yis0DVKL/87c/nTqNiEeqkqV+94lXUzzgx2LLHg8w+allj/5tXfttymw+fn3k8uYFVBDk3tvmAOoJCHsWnTwO/n2X9s5fZXjwaPoUv40t1vcNvrD/LovEu494KbKe7r5uaGZ1l58RdoLyk3fYga9Qfc0aCzE847zzyMZjSpqeH9T/wMlEhPBdGQkSdaufCUM3Vq5G/02DEAzj/vVH7uU/APRg7gzLRD18hkVO5zsi8zD007Lv3k5XTOPo13HOpQtAcOcObxDkB5ufb317+GCy7gheIax+f98bOqQ/L8rJ11Dp9peIZFB7fx2syzTLcZHFK568nt2nmqKucc3knu4AAf2/k6f13wEdNtonk+KeoQZb4uWj3RQwCN1Dd4mZhbwQwLw4+TpNKCIIxP7Dzxw400OqYG/fffD+b3Me7zydMu4snTLoIhgvvU9f22v23lWNDw08bslgPMaD/CbxZdz2CWi/fLqpns/SDkMJMDpdwPJznUK+MMP05x9AUWF5M30E/24AADLutLUdzXTc7QgHly58JCyM3VPH4C4995Rz+gwtfJDy/7Mh9+/y2+se4h2LYMcnLI9/fx3sRIz6Hj1TWw5VlobYXKSkf5jgQTHn1UM/o89BCcffZon01ac/Gq0Dh5b0lkbpjxim64yff30ufKZjDLFWx3gp3+2D1kmHUy+rkMh3qFGn5qm3YxveMoPz/f+cyvE7pyC7QZVIuQq6gPmtO0JKCP1L+Jr2hGyKI5zfv5yVM/Ycvk2XzvI/8OisIfzr6az256ilsanuEXF91iudtRf8AdaZYv10Jonn56OJngaPPii/C1r3HB/i2WD4zCOKO6OpjDMEigvHt/WQWEOVe7sxRW3WgenhnNEBNLSJWTfUXz8DGih5/FokPRHjhA81YxM1woaCXvdQPTPRMGuBCgvx9uuw3XBvPtzHhow8GQScU3pp+BLzuXS/e+bXsfB41P+/dT2aWVhf/4ey+bGn6chBgW93bjUodocxACaGTVml38a8lkrtjzpulyJ0mlBUEYn0TzxHc0saiqmsfP+ec72qe+340HjvPEy1rqiKrutmBS/RdnnQvA7vJpnO3dEbKPSV2tAGPb48fjzjJ1dbWKfbajrraahzc2sm7v8WDbWdNLQr/AIq0KQkG/z7YiQkVPB4B5jh9F0bx+Wlooq3HT1uPnwkDM9Gs1tbw68yzOP/gO5Z/7HNx6KwDvV4cO3j1uF+csXQxP/0pL8FxZSbvF7I9VuxDg//4PZs3SkgJmpVUKq7Rjf/nu6CuNUy6ZW8UD6xvx+Pvozc4NaXfO8GBcCby/dfUW26pUZkkAly2dw7KHt+LTq3r1hxp+rtnxCn2ubNbMPi+Gcwul1OOmb2AowlB1/dnVPLrJG30GxIzp0wFwN3lhzrDhp7j3BP/76A85kZvPVz7+ffqytbCgA2VT+MfJ53Dzlmf45Xk32oZzRAubGDO89hr86lfwzW9quS7ShenT4T//k5u2PCeGH0Fj6lStKlPAaxkIGn7+d2cX/kB+Ax3/kGp5j9t59MSau8jJvszCwMxwZymsuGae42NHOwdju9Xx9XxEBP6u2n9MM/yccgpcfTWD659zfB6Dqkpnrx93loJ/SKXPncsbM87gsvff4q7LvhJ9ZvGNN7TzuPwqFr3wFNWdx+iZVI2qal6gTrW4PFAV7bgnNsNPU7uPA2WTqOzpoLCvhxO5+cFlUjlJEAQ7nIRyRTXoNzeHlHJ3Gh720s5mOnML6HNlU9ndznmN77Bl8ikcC3jz7KmcxrU7XsHT3xvMHTfs8TOGq3rdc90ZMbXbcUf9thCjD8C6vce5o94QYlGsdTpFUfL8VPS0A5h7/ICW56e5mdMma8aji/Zt5t2Js2gtKOV4fgl/vmUZbN4M3/kOuN18/ksfjcj4ft5HNeuhnuB51Kt0ZCK7d2t5ML74RTH6CAmhJ6fM7+8NhlgZ2+2ob/BqhhqDEVsFfP4hW6NPdcCLJpy62mpW3XimIdRrOMdP1tAgV+58nZdPWhiRb8Gpc6D+MGNWieLuuvlcf3Z1MHeCS1G4/myHM90Bj59T/e0hzTds+wfTO47ytWuXBzs9nd8tvJbKng6uee8Vy4elZCVpTXt6e+FLX9Jiye++e7TPJpTcXPjsZ7n8/Q1UdktYrYBm+Onpgfb24baA4WfXYJ7pJlb3uNU4J57KfU72ZWf0MWqilYdSvOdgbA9PZG3Ffk+Z5v35ve+ByxWzl8tQwC6na/pLJ5/L9I6jzGq1DiUNTr6+8QYUFVH9y3sBWDf9KA3/eQVb7rwipkS2ZT2a4actRsPPlFIPB0onA0SEeznulwRBGJckpQiCXtErYPhxus+mdh8oCi35Zcw7upcFh3fzwsmLg8vfr9DGy7OOD+vwpK4WfNm5dFjkUouXtHs6drsU2/dOeWiDeTWZkHaDx084eYbjVnRrHj+mOX5AM/y0tLD+gzYK+no4y7uD12pqg4t/VlareaAcPgynn861586MzPheU6NVxQgYfka9Skcmcv/9WkLAz31utM9EyHD0B5J8fy89hsotTnJLrFqzC79VMjILot3bdbXVpqFe1773ChO623ji1Isi9nf+rHJnB1eGjxGuS/UNXh7dNJyIelBVeXST15mRpbwcPB6uLBsY1jJV5cZtL7Bl8ilsmnpaxCZvTj+DHVU1fGHj40wpMX9YHDcVD3/4Q60/+M1voKBgtM8mki9/GffQIDds+8don4mQDpiVdA/k+MmdbF51ysogYjX+iadyn5N9WRldSj3upFTncTKecxrG35VbQO2/Pxgc58TmharRP6gGNX3tSVpI/GV7rSt1Zeknt24dLF6slTE+/3x44AHTUOBoBD1+zLzobVi2dA5HK7XvYHpbqOHHcb8kCELGY1edywq9WmT4BGdMuv5+oPJsoJS7033qfV1LQSkX7N8CwAunLAou31Ohecif0jKcg21yV6uW3yfJOV7SKtRr1ZpdEcn//IOqozjo8Gz+jqp6BTx+zEq69xrOozLg8dNi5fFTWQkffMCgqnJe4zbcQ4O8anB/H1RV+MUvNG+UJRZVd7KztRClgOFnXCYxTYT+fvjDH+Cqq2Dy5NE+GyHD0d03Pf7eoMFFb49GLIlHlcA+o93b9Q1e+l3ZDChZweTONce9/PCFX/F29Wk8N+d8XIrCkKoG9+fUEBKuscYwqiwTvXVcVUdRYNo0Tu5r457r5rNqzS5Kd73Lqc37uePyf7Hc5ncLr2HVsz/jR5XHTVcZFxUPt26F//f/4LOfhSuuGO2zMWfOHNZPO51PbV3DbxZdh2qS5FkYR1QH9OB3v4NTT9X+f+UVKCriG1fNd5Y0M0Ayxz9O9pXqnIpOziGWMH5PSWEw709WgifZVDyBHVU1XLr3bX676HrTdbr7B7Uk89u2wX/8h9Z4883wr/8K77wDZ54Z0zHLfNpkaqweP3W11WR/9sPwf1AT5vETT7U3O8ZNOLEgZBhOkuVbkXCOyD17Qkq5O93nJXOreHB9I80FpWSh0lgykd2VwykQDpRNxp/l4uTWYeeUSV0tSc/vA2lm+LFKsGdsv2nRNB4wVCUwthuxyEka2pEHPH6iVfbSc/xYdlIBjx+XonDhvs10u/PYOPXU4GKXomjr7NwJHo91hzJnjpbjJ8C4S2KaCE89pc0ufvnLo30mwhhg2dI5LHtkK/n+vmAZdbdLceRxV5rvtqzQErKex01BbnawqgyYd1p66BiKQo87j3x/LzkDfn7+xP/Dn5XN169ZpiWfVtWQCjm3rt7i+PM2tfuob/Cy4ontIdUEE66qM20aHBzuyG7Y9iJ9LjdPnHaR5SZPnHYxd7/5ABc8/SB8+caI5Y5LbmYqAwNaiFd5Ofz4x6N9NrY8dOZSfvrUj1ncuI03Z8T28CeMMWbPhrw8uO++0PZzz43LkJPM8U+0fcWSUzFeg0C0c3CaZNrtUjjROxDsY5JRyeofJ5/LV9c/QnHvCcsS7bz1FgwNwfnnU9/g5beHJ/N4lou/ff2/KbjvJzF9V/Hm+AEYKCikOb80wuMHrJ8hYiWRB0tBEFKLk2T5ySJc71e/9Q5TA6XcY9nHo5u8qEBzoLLXC6csDjFIDLiy2VdWzSkhhp9WNkyLPadcNNJqii7ca8esfeGM8ojcFUqg3Ygn2/yjhbTbePwYqehppy2vyLryV2UldHSwZHohF+7bzJvT5+N3Df8oFp8UKLFcWkr9ey3W+Slmz9bcyAadlxUVAvzv/2ozjkuXjvaZCGOEwSGV7hwPxworgu+d4GQc7s5S6O4fcJSnxhg65svJI8/fx+0v/475R/fy7Su/yeHiYVd/b7uPW1dv4Y76bTEZQkrz3dz+2LYQo48djvc9fTq+D/Zz+2PbaG7ppG77yzx/ymLrhwugLzuH3H/7GjzxBDz4YMQFtQptiCfkIS156inYuBHuvRcqklvGM9k8N2cJ7XmFfHqL8wSzwhilshKOHtUq0Blfr74KmIeSjhTRwgKc5lRMZX4xO/3Sx7zVpR4KcrJjDiWOxtqTziFbHQoWJgmn1OPW8vsoCk/lTeP2x7bxnj+HV2aexaWb/8H3Ht0a0zUo6+mkNzsnWLDAKfr1byydxIz2IxHLs5LkoTVuwokFIQOxMvAm2+vbTO87tu3g6MRpUbc1YtSTloDh58WTF0Ws937FVE4OhHop6hATT7SmxOMnquFHUZRpiqK8pCjKe4qibFcU5RuB9nJFUV5QFGVP4G9ZoifjJDzrrie3RyRIVQPtRsyqg0W02+T4MVLR3UGrXSxyldZhF2xtoKb9cEiYF8D+1uH923Yos2dDX1/IDLnggMZGWLMGvvAFLWROGJOMpBbd9eR2hlT48vX/wb9d+11AS4oZrjNmdEQxnlSXenC7lIiwVquBpbEz63HncuG+Bj6/6UnuX3gt/zDpPFTgwfWN5Oc4s+t73C5UFduSx+HrO841Nm0auc1H8ff2cdn7Gyjr7eKR+R+23aTU44ZvfANqa+GWW7ScEuvWBZdbJdh2kng7I1i9WjP4fOITo30mUenLzuGxeZeydPeblAc8YxMhnrj90WAktSijKC6GKVNCX7mxPdwnGyfGGqscPJfMrQr5Pa54YnvKDAJW+uVSFO795AL2Bwxm0fqXeNgyZTbHPcVcuvftiGXBSmZvvAGnn849bxwOXoPHT7uYySdaOXPvVttrEH4fl/s6NW+fGMPU9PHz/rLJTG+P9PhJlj0sk8KJRYuE8UR9g9eycEmyvb4jntdVlenHvazpLYxpbGLUjZdOWsgTp17I2yY5LvdUTmdG+xFyB/qp7O7APTSY9Ipe4MzjZwC4TVXV04DFwL8qinIasBz4h6qqpwD/CLxPiLJ8c9cpY7tVCEV4u6MZHIdVvSp72mkNK0UauoL2xZz/1vMAEeVtjdZJ2w5l9mztzW4psx0Tv/ud9vcLXxjd8xBSzYhpkVOdMSNa59PdN0CPhWHaTB+M+/O586juambrpFNYefHnLI+hAnuOdduehzERXbSHCZeixJcMb9o0slSViSeOc8O7/+BwYQWv1SywPy8FTVPfflvL23XoEFxwAdx4I+zbl1GD8pjp6YEnn4Trr88YI/ZDZy4lZ2iA695NLMlzhlVrGzEtEhLDifeGWYLO68+u5tFN3pDfo5VHZDK0x2of4ROiJQ6rf9lRkOMK+axDWS5ePulsLv5gE1lDodfqk+dOo+7MyfDmm7BkSch5vnDKIk7keLj2vZejVmE0UubrjDm/DwyPpRtLJzOls4WcgeQbwSDjquqKFgnjhlVrdplWx1UgqcWP6hu8EZ5FFT0dFPX7+KBsCrc/to076rc5mqgy6sbmqafy9Wu+YxpB9H7FNFzqEDVtTUwKlHI/WpR8r++ohh9VVQ+rqro58H8XsAOoBq4F/hhY7Y9AXaInYxUiEU8Is6NwAD3HT9RQrw5aHHj8XLXjNQ6WTGRf2ZSQxcZQNdsOZU7gR7tL3EkdMzioGX4uvzwk2ZYw9hhJLUqEZUvn2AqrXTiVmT4sWzoHd8CHvSsnn86cfP79mu+EhJPGgzHkwm5Aq1fAiStEI1DS/czDu7n4g008dvqlDGW5bDcJGteysrTkxrt3w113wTPPwFlncenRHabbpemgPDaeeQa6u+GTnxztM3HMnqoZbKw+lZu2rsE1NEhW4MXgYEyddyaFV2SKFgnOvTfCQ9Fe2tns2AsyS1ESNlDa6ZfRAJqMhNPd/YMhnxVg7axzKPd1sqApdOJx9VsHWfvIWi258/nnh5xnrzuPNbPP42M7X6emwFzXze7rip6OuPL76GPpA2WTyUJlWkdkuFcyyKSquqJFwnjCSs9Vkpd/y8xYDVDT1gTA/rIp+PyDPLi+0dFE1SVzqyy9lIy8X6mNl09paWRywPCTCo+fmKYUFUWpAWqBDcBEVVV1X8sjwMRET8Zq1tnYXupxmz44hZfjdBQO4HLR4861D/VSVSZ3tfC63Sx1wOOnrLeLZ+YuieiZjTM2y5bOsa5uMXGiZoy6/Xa45x58/iG6+wYYVFVcikJBbjYed1qlZRp9Bge1pM5pngRVSC6p1iKnOmOG3vkse3gLFo49lpgZrPX9rXhiOz+47MsoQGNZYpXrwnMhmOkSaN6Wd149L/4OdbpWovJr6x/GpQ5FDfPSqW/wDh+zoAD+8z/hM5+h87Kl/OpPt/Odj32D+nmXhGzT0z8Qul0msno1TJgAF1knv05HHjrzI/z4mXvZu+ra4cZVaJV/HnjA0T4y1ZMr1Vo0VhitKknxJoOP5Xc3qKoJJ/+10mAITVwaS/UvK8LzaXrcWbw68ywGlCwu2/sWmw3FSfxDKuv+/CSXApx/Pss680LO8++nXcL1767lkXs+Scsq9/A49UMfgtWrTa9jma+TQyWx3xr6WLqxdBIA09uPsLciNN+GXu3M9jd2+DBce63mTWpCHbA0MP7+0QW38MaF12REVS/RImGsY6Xn1Umc+DMzVgPUBBLK7w+Mv8OntcwSTBsTO0fjg7JqBpUsTmk5SGu+Zhg/kgKPH8eGH0VRCoFHgW+qqtqpGDoOVVVVRVFMP5eiKF8BvgIwPfAQYIWTDnrFNfNY9vDWkOR2wRhkA04HkV25BZT0nrA+Ka+Xwn5fROcSQtXww1p4fh8I7WSjVre47z5Yv579Ld28tf84A4bPmZ2lcG5NOTWVBdbnMh6pqIC6utE+C2GEGAktcqozdmS7XPiHnM0Y61gZrPWKMDOX+x11IAqRnZKR8FwI4bpUmu9GVbWqNnYVx6IS8Pg5/eheNlafyr5yZ/tY9vDWyGPOnMmNn/kf7vzDf3DfUz9mevsRfnb+p4KG9rYef2ZXXjlxAp5+Gj7/ea1caAbx+GkXUdrbRb5hEuW27ve0vCAOycRqbSOhRWMBvTKhrqfedp/5PZ4CrAwq3X32hmKnVbZ0Eq0qo2/3TYtqjPrYNdbzMiM8fOye687gW6u3sHHqaXxk9xvce8HNIaEIp+1/VzNIn3QSdYHf+Ko1u/C2+3hzxhn87LxPUtnTDmjj1Ct8Xkr//ncYGjI93/Kezrg8fvR+bX/Aq16fgTeiH8uyEtfgoGaQ3r4dPv1pSxcqT+C16qZr4ZJLTNdJJ0SLhEwi3okAW+eJJGFlP6hpa2JAybI1Wuvb6p8vFq3uc+fimzqdk48fJGdwEv1Z2fb5hePEkeFHURQ3mqA8qKrqY4Hmo4qiTFZV9bCiKJOBY2bbqqr6W+C3AAsXLrR9ZrlkbpVpqXbjLLjTsqAlFjP24fHRB0onmXYeQXbuBGBv+VTrdcq1imIDShZvmJS0De9kbct6fuEL8IUvcPPKtXhnm1s1dddcQRhvjJQWxVN+2IjVjEE0os0yOxn0uxSFmxZNM9VS4zrh6LqU1FK2hYV05BZQ0tfNww69fUCbZV7xxPaI4+3uc/HZT9zFyud+zrdef5Dp7UdY/pF/Dz6kpKqk54jw1FPg82VUmJfOgCub+8+pC2m7jde0ymRDQ1rYXhRGYkCXTEZKi8YCK57YHlGJyuoeTzb6/u96cntIjrZ2n72h2M4Dx4pEDTIbDxy3XKaPXeM5r3DCZ8f1z//7Xdfwm/r/5tbXH2TVRZ8NLj/LuwMuOj9oJNH7iiUr1+Jt9/GTCz8Tsr+DO9Zw285t0Nwccb7ZgwOU9HVzPI4HGv0XdNxTTFeOh+kmlb2MmPYH//Vf8NJL8Pvfw+c+F/M5pCOiRUImkcgYM9GxuROmlHo4/a1/sKtyBvsNk5U1bU0cKploXeE7sG3454uFhsIpnNLcSH9WNkeLKlCV5Ef5RDX8KJrZ+H5gh6qqPzEsegL4LLAy8PfxRE/GabUWW8NJAP+geYxFePv7FdP56K51Wi4CM8t/wPDzfoWN4Sc7G8rLeadgEl25kd44BTmxz95mqtu7IKSKkdQicKYzVsR7n0bzbrAyjhsZUlXurptvu55VBUWwz7USz/VoKq4ip22Ap+d+KKbtTEPt8t209cBtH7uVxpJJ3LruL+ytmMqvFt8YXCfRh69RY/VqmDxZS2Q9Fpg6Ffr7oaVF8xaIwkgM6JLFSGtRpmOV18wu31kyqautZtWaXRHJ+e10zez32N03YHvOiZQTv6N+m61m62PX8POK9UndyphaV1vNXbUX8dAHG/mX9Y+wbsaZvFGzgIrudma2HYbzz4/Yxqqf25UdMOocOkTd2WcDw55Mpb1dAHF5/ARRFBpLJzOjLbKyVzgh/cHLL2v54j7zGS1/3Bgg3bVotEI8xxWqqlU3fucd7bV9u1YowsjEiXDHHUEv7NEk0TFmImPzaNQ3eOnz9fGLx3/E8fwSrr/5/3EoEFpa09YU9DY0Q9fWeCd+Ad4tnsKiXW/RmVvA4RSEeYEzj58lwGeAbYqibAm0fQ9NTP6mKMoXgQNAwrVnnRo7nAhJd7/5RQ9v31M5jU9v7aKip8O8ctfOnXTmFtBcEKUS4p13cu+6TtNFPRbnYkcmur0LQooZMS2CxAYsVh6HdjjxbnBSstypRtxRv4276+ZHtCfb6Py3My7HPTjAidz8uLY3ErRXKQo/veDTzG3ezzfWPcRTcz/EwUDnbObNFE7aDUY7O+HZZ+Gf/9mRd0xGMDUwWXLokCPDD6R2QJdkRlSLxiN31G/joQ0HgzkOb1o0zVSvnBKProX/HqPN5CZSTvyhDQdtlxvHrsbzqln+tONjuBTFsipjfYMXVYW7PvwVFnp3cO/TP+Gjn/85Cw9rk59mhh+rcerAlMD+Dx2Cs8+mrrY6aPgp69HGyfFU9TJyoHQSc1rsJ0HA0B80N2uhXSefDL/8ZXKyZKcHaatFSfUeFrTCD9ddB++9F9re2am9dGbMgNLS0HWefx4efBDuvBO++U1wJ14dMF7S1bFB/72WtR7BPTTIxBPH+fPf/oMbb15FS34JM9oOs6n6VNNtFeD6szVdvtUiXNdsm/AuY0/lNHKGBph/ZA9rZkdqbjKIavhRVfX1wPmZcVkyT8aJsSPZQrK7cgYAp7Q2Whp+9pZPjd5JfP3rvNZk3gHHMxZYtnSOaY6RdHV7F4RUM5JalKjOOB1TVpd6YjI+ROsYjRrhUhRbzx59djn8YSrZRuffL7zWclm1Teia2ex5eAGAFR/+Chf8XwN3P/9LPnvjXRDlM0OaDkYffxz6+jIyzMsSo+HnrMjcd5nMSGrRWCBLMTeKWHnIhHu/DKqqpV45JRm6Fi0PTyJE0y0r7DQ0nCFVtTT6BDXRncfXr1lG/Z9u43+evpe9VTMYynaTFfDcMWI1Tr3x2sXwC0yTJ5f7tAfU4/kJGn7KpvDh998ia2jQtlLkoKpq4aaf/SwcP65VTiwsTOjY6UQ6a1GyvYfHPd//vmbAueUWyMkZbs/Ph3nz4Iwz4PTTodjk3tq/H77xDfjOd+CPf4Rf/UpLwD4KpKtjg/57ndepTbDet+Qm/nnDY/zp0RV88+O3U9zfY+nxozI8MeskJUNZvpte/1DE/bGnQsuzlTs4kJKKXuCgnPtI4qSEotOSr1YPXuHteyqGy6eZsnMne+3CvOKgvsHLkpVrmbn8aZasXGtdBjT8M4yZCQpBSG8SLS0dHlJgRqnHHVJS18lAKFrH6B9Sg3kibloU3aXXOMus65K33RchNYnkWrGqhKZ/fiuGVCL0MfzzHy2q5Mcf+gwX7dvMVTtfA6JXd0jLsuF/+5vmgr148eidQ7IxGn6EcY2VJ4xVu5X3SzSvGDuSVaK7rrbaVtNShdm+6xu89PQPRLRbDRWt+o9wTdwx4ST+65IvcOkHG7ll01O8N/lkyMsLOe6SlWv55uotEbmbUKCvrELzKDC598t88Xv8GK/BgdJJ5AwNMLmrNWSdPH8vf/7rHTx3/7/y3P3/yj/+8O8wd67mUXnvvbBgQczHFeJjpD07HD9bZSKvvQY/+xn867/Cn/8M998//Pr5z+GrX9W88syMPgA1NdoE0+OPa4UkLrwQfvIT83VTTLK0ONkEE+gHDD9Pnnoh/1K3nNlHPuDvj98FYBvqpW9v9vnCaevxm3qOGu0NqajoBWlm+Kmrreae6+ZTXepBQRvAh7ulOhUSq8mT8PaSk6bRmVvAKS2hA4pTJhRAVxd4vUk1/OgzK95AbLY+2xwuUKvW7MI/GJYMcVAd3YcTQRgnJDpgiZbrIdYKYTpOOsYH1zdS3+Dl7rr53LJ4uu256LPMRl0CbfZC38xMh2PhqjPNS8+3+/wsWbnW9mEpXB/NPv+fzrqSdyadzJ3/+C3l/d1Rr1HauRm3tcGaNfCJT4ydMC/Qwruys8XwI1gaY63arbxf4vWKAWfjS6esuGYe7jBhjVfTnWC2b12zwycZSj1ubl48PaYHK7PZ6T+ddRUvnLwIz0Afb06aG3Fcqxlt/6DKqhf2QHW1vcdPHIYfY19yIFBSeXp7aJ6fy/ds4EMHtnCssJwDFdV45s2F+fO1pM5f/WrMxxTix8rQmArPDqfPVhlJT49W7bOmBlauTGxf11yj5QC69lr47nfh7beTcoqxkEwtTib673Jqh5YHvamoipdnncN/3/AdCryac8jNt1xqmU5A3974+WKlJ8fDoWKtoFWqPH4cl3MfKaLF+Dt1EbNyfw3/Ipo6+thTMY1TWkM9fprae2GXZmSxregVI05dH9Pu4UQYc0wsyuFoV79p+3gnUVdUu1wP1QnklKmrrWbFE9tt8wepENSThTPKeeitg5aWcJehNG+4LqmB5Ynmv7HLS+Rt9+F2KbizlMiZ4wBGfTTmitAZynJx+9J/44k/fYvbXvkjfGZJ6A46OmBgeFZ8rrufw529EceZXJwHra0R7Sln9Wrw+zXDT4ZhqyFZWZYPf8L4ItaKbVZhqk7yd9mRrBxSI52IfNWNZ0bs2yqBaEFuNnfXzWfhjHLH52d6vRWFZR/7Bv/z9L28tOBSvhzluEaa2n2ax9/BSA8tPcdPexyGH2Nf0liqGX5mtB3mTUM13Wvfe5mmoko++4m7yM52seqGyGvnhLTLA5eBjGSlxjEdVvb978PevVo1umSEKRYUaFXtzjxTy3vV0DDi4Y/pmM9P/71O6WzmuKcYX04eHreLM27/N7iwmrZf/x/f2tDBoBrZD4X/rq2q5Orr5mZnWY7j36+YztTOZo6MF8NPNJwKidP1uvsH2V05nQ+//1ZEe7CUexI9fpwadNI1BlIYO2S7zF0RrdrHE6kcsNiFNzlhxTXzopaK1PXk+3/fxqCNFUoPB7PSpUFVTTj/TTRjtX9QpSzfTX5OtuUscrR9bJ90Mn84+2o+v/EJVv3wx7CwUpvJ2rgxwvDwrN2O7rY9TOqYORPOOWeUDh4/UTVk6lQx/AgxG0puWjTNtMKVk/DVkWIkH1zMjhNtLBnL+Vl5UrV7ivnSDXdSlj/slelk8nFKqUe79028Ccp9nXTleOjPjj0sznjsw0UV9LmyqTF4/JT1dHDRvs3cv/BaVCUr6CUf6/eUlnngMpCRNJCO2cny11+Hn/5UC/G6+OLk7besTAsZu+QSLffP/fcnb98Ziv67nPDwcZqKq0InaWv/jatOnEaXye/JLmm+1T2w8cBxyyqOeyqncfG+TaNa1SutcCoksQjO+5XTuemd5ynr6aAtv2R4wc6dkJ3NgVLzUIV4cGrQGUlLuTA+GbMdZRJIdMBSalHVKxk5IPRzsPP80fXEqrohwC2LpwcTpdolo0t01sxJoru2Hj/5OdbdkROD908uuJmP7lrHd/9+L/wdmD1bi2M/80zwhG7/zqF2/rHjGB0+PyUeN5edOoEzppY6+TipYcmSjKwyE1VDpk6FzZtH8IyEsYCuS8ms6jXWsNLVLEWhvsEbk15HSxDdbggni6bnwXFq61T4+981b1ODtpX5OuOu6GU89lCWi0Mlk5huKOl+5c7XcQ8N8vi8i4NtThNfGxnT3iMjjFllvCUr1ybdEJRxk+WqqnnEDQ1ZrzMwAF/4glalK9EQLzMuughuvx3++7/hox+FG25I/jFSydq18Otfw1/+ooWVJ4G62mrIPgHnzY+YpLUa7+hJ8628BM3ugQc3WFckfPy0iyno7+VYYXlSPlM4GWf4AeczGU7XCyZ4bj3IW+GGn1mzmDm5hD3HuiO2O2VCQch7J5Urli2dw7JHtobk73G7Iqt1jbQrsTD+cLsU+gcjf7BuV+Y9gKaCRGZ0V1wzz7TaSbJyQOjndkf9Nh5c3xhSOVAfeEeLbTc+RJnpkpFEjIFmRuxwFKwH6OEG77J8t2ny7O7cfD756ZVM7TjKQ7/6WmQ5UwNnBF5CYkTVkKlT4YknIh7+hPFFPB4Ud9fNH1eGHitdM3rbGLHS1Xi8NKPpv/Hh2ey4elnikBnyV6dqlQpbW6GyEpcCgyqU93SGVPSKZbgRfuwDpZOY0X4kuLzuvZfZWTmDHVUzne/UBJkUSw2p9KTKuMnye++F225ztu7atakLxVqxAl54Ab78ZVi0SCsykQmoKixfrnkVfu1ryfOGUlU4cAAuiyyIZ2dcdPLbrm/wRk3VAPDupJP53kf+zXadRIZTGWn4cYrTGN09lVr5tP+fvTuPj6q+/j/+/iQZYFjDLoRVQFBEiFK1IlWxiq1VU9xrrV3t3motX7GbS21NS612/XWvbe2CC8aFVqxFq1JRwYCIGAVZB1SWhDVASD6/P+5MmJncO3NnMpNZ8no+HjxC7ty59zOTmXvvnDmfc8Zt36gXhx9/5IbVq6UJE7T/kHtENn75R04Z4Zq69ZFTRsQuiD+3eszEyMc5kCgebh/YEi2Hfx0VuE1Uy2Fa9SLP+7meMxL82SMX/unUPYh+LryCO167dquHdPMFEz0/pGwqP0qbyo9KGPRB5iQ9hgwbJjU2OgWs+2Xn2yvkPzIoknM7rgVKjW6+wP3LgsjzdsN9K9pM1fJ6bhMevz0OwoGS2C8mfZ/borv6DRigyMPq17hLO6K+YE3lciOyj0idtw19h+jkzaskazV81zuaGlqtH5xxTbuDzAWXPVIgsnkcKLgvyx96SBo/3gleJDJunJMRnC2BgJMxM2WKdN550oknJl5/yBDpG9/I/TXW//53ZCrpgw9mLvCza5fT9WzEiDY3JQouJnttu9X6aY929DkozMCPnw8fqUSWt/YaoD1dghq740ghutKWZunNN6ULLvAd/Y8UUo2uqVFaYjR15JEL3rkL69oUMW1qSW8eMoDsaW9xx44K3HrtJ9G3k6eNif0Q7nZcigiUGu07eFij5ixo/WZXSu3buuhCd4m+WY5m5F4PKf7iH3ks+sMfgZ9OiwyK5NL54FpVWaHrPY6D8c+t2zXxdfOW65ZHVskYeR7/3b4l8HVui2QObN4c00K93/7drVn26aiqrND9Szdq8dqd2lA+RD0PNar//l266LWnJUkPH3dG2tuOKLjskQKR7eNAwXxZvmuX9PzzTletj38816ORxo6V7rnHKSL9v/8lXnfDBum++6R775VOP71Dhufqrrt0qHcf1Q4epxH3/F2XDrlIX//Ase3/+2/Y4PwcObLNTYmO0cmOw7c+uipjQZ/2yrvAT7IPW34DOilFlo3Rmv4jdMz2Da2Lhje87XRamTBBfTa41+voE1evY+7CujaFVJvjgjpcAAH5rxiKOyaqxbB+R+zyhMcfq9bjX/xHg1S/rZu7sM5X0Edqe3yNVlVZoRsffEUHD7fNxuxaVkQt0QtddODnBCbXdVZ9PGqeJXqP57tsdH1K54Or3+wUr25cyaYdpFsgOea9H6Vv427tjC6pkIbI+SvS0n1kw1Z9eNXTemH48drSe1DMuumcDwoue6RAJKpLNXrOgs7zPC9aJDU3Oxk2+eKSS/zV+HnhBemqq5z6QN/4hvSd7zhZQx1p3TrZhx7SPadeotV9h+muN5dqwOuv6KZGp3ur1+vH1zF7Y3jWjkvGT2TbbttP9NoeNWdBCg/Onx5d0m/Ck1dXyJEPW6GGRlkd+bAVXasiUUAnmtcHHq/lbw4YrnHbj2T8jNkZPllNmOCZNRq/3E9QxytVlBRSdDSvZGgqcfg/zuSzsyYM9LzNrYugm1Lj3WY9IpXimakEuJNl65d43O61HJmX9Bji8eEPnYvfa6hC4edataPMnjlewUDshwC37JR0ihxHpPXF5ODBUmlp63vfSOradFA9mg7EFHdO5yUQGc/G8qMkOUWdx+zcrIeOO7PNuumeD6oqK7R4zgytqz5fi+fMKP5gRAdwe61KTl2qXL+POtTjj0u9ekmnnprrkaTulFOc9u8f+5h0++3S9OlHgiUd5Wc/U7OM/jD5g/rP2JPVVFKq8+oWJ7xGdztmz35ghabc+oRGz1mgadWLnNddksCPl0Sv7WwIlKYfvsmrwI+fD1t+M2ZKPa4ovJa/2X+EBu2rV5/GPZKkMTvCF6rjx7sW3JPUZrmfoI7fkzSQbV6HIyr8FEdm3lOvb/O8za2LoNtxyc9Jy+uY6me/iXgddyMam9xrr3ktR+YlPYYcdZRUUkLgp5Pzew1VKPLpi4GqygrdMWuSKsqDMnLqorm1Fk7lOB0vrS8mS0uloUNb3/tWUt/w9fXOqMBPOtcbkfFs6nOUWmR01fJ/6WBpmf45oe3UE84H+SP+ter2miy0L9hSZq20cKFTPLijM2UypVcv6Y9/lObNk157Tbr22sTrJ+pclqrdu6Xf/U4Lxp+ut3sP0O5uPfW/kZN13hvPS9Z6XqO7HbObmq0aGptigo5vvLRK6tJFGjTIdTvxIl3qrp+3XN0CJSoPBjxf25m0K0mmZiJ5FfjJZMaM1wcWr+VvDnDmHEfq/IzZsdn5xqJvX99BJK9v2KOX+z1JA8idTGfmRU4OMd8sZFmiIJVbF0G341KFj8ebyjcaibKQ4mX7xIkOUFbmFIPctCn5uihaqX4Rl++y/cVAqucLP9kp7fnmOZXjdoxhw2KCvv0ad0uS6run1849YvbM8QqUGB0qC2hL7wHqdviQnhrzHu3ulqXOR8iY6Ndqi8drspC+YEvZG284dWTyaZpXui67TLr5ZieQ9fTT7uvs2OEUqL7ppszs8w9/kPbs0SNnXda66F/HnKZRDVt17LZ1ntfofl5TjU3N2li72sn2KUkeHonPIqrf36SDh1t01+VTPF/bmdKeadJ5VePHz1xlv0XX/LbG7FpWooOHW/TmAKeQ0zHbN2rZsOM0rn6zNGGCJP9BJK9v2OOXF0wBMqCTymRxx1zVC0pU4+eWR1a12b/XcSlZJwI/waGIRFlI8aKPr25zs1Ntf4wcifvwh84n1S/ipMzU0MlGHR4pu12fsnW+qEhwPgiUGMnIs/5aKsftGMOGSa+80vpr33DgJzrjJ23hmOHG8iEatnubalymeUmcD/JZp+ye9vjjzs+ZM3M7jkz5wheku+92Ajv/+1/b+btf/7r01ltSdbXmbA5qXsVJ6R+Lm5uln/5UmjZNF3z6Iv0vfJz897hT9b0nfqkPrVmiii/Pcr1rouvhaH23vy1N8DfNK1Hmp9/9pas935nkVcZPJjNmvK4n4pdHpjds6T1A+wLdNG77Rslajdm+qTXw43XiiF9eDNNDAGQ2My9X0wISBakaGpt8zaWPfh6ktvUYUg2GpXIsjOzTq57G+ScMUWlcAYfSEu/2x8gRAj+dnldw2Gt5JmroZLMOTzan7KdzvvCTIeRVg6I8GNDcSydr7iWTPbef9jVs5L0fvvDut3+XJGlnsH3FnaObBNQNHKn6br301Jj3tFmP80F+65SlLxYulI45Rho1KtcjadWujPRg0Mn6WbJEeuSR2NsWLZLuuUdvXv1ZrTpqrOY8MFdDdr+b/rH44Yeldeuk66+PuTbd2aNcK0ZN0tVblnleo3sd/+IN37vdd32fRJ/53fYXuVrNRKZrQzumSedVxk8mM2a85r/FL2/tVmNKtKb/cI3dsUn9Gnerz4G9rYEfv0GkThm9BopUpjLz8jUg7LcjV/Tz0N5v0L2OkdFt4qXYiz+vD0ILXtmqEknRt+TVNxlwDBvmfMtpbeFW80W7pJpBmVJXVg+Z2IaXbHZ9SvV8UVMb0uwHVrQGQiJFS6PH6XfMcxfWZfYadtgwad8+p321jmT8tHeqV/Rzcef0q/W793xYB8u6tFmP80F+y7fuadnKEGx14IAzJerTn87cNtspIxmGH/+4NHeu0+XrQx9y6ns1Njq1f8aO1bXjLlJL8CQ9ds9X9dNH5uqKK+9Qo5TasfjgQemHP3QCZlVVreNrvf/QtdJXvyrV1Unj255XIutd59F2XZJ6l7Ro4J4drq3c3ZR7ZJ0PLQ8mfG2PzkCXr/J2ZDLmVeAnkx+Q0gnCrBkwXKetX6Ex4To/kcCP3yBSJqeHSB1wEAKQddmeFuB1jLj10VVJ75/qsbW9wTCvY+TFJ1Xoqde3uT4OrzG6nXCbWtJsPYzsiXz4271b6tO+b/pRmFL9gJeJa8FsB9yzNWU/1fPFrY+uajNFq6nZ6tZHV7UZX7Ixp3MNm/A6Na6rX7/G3WqR0a521uKJfo72du2uvV27u67H+SD/5Uvpiw6Zkv/ss05AJI/q+2QkQF5WJn3ve9Kll0r33itdc4303e9Ka9dK//mP1j/RKNt3qL4x80v62aNz9bXn7tUPz/i4/2PxO+9Is2Y5reT/+EcnsBTvwx92Aj/z53vWE6qqrPAMbpcaox+dNkDGWl8ZPzW1Ie09cLjN8kCpaT1eptr6PRXtKSGUVwFxvwVV001rTXYCe2PACA3Zu0OVW8IpteHAj99xZXJ6SD61CwU6o0wVZM5WOnOyY4SfjjkdnY3odYy8vWqSZ3HSVMeY60wqxKGlO5Rae+xMFNfPdIH+jpLq+SJTHdMiAZzGpubWqQjJrmGTXqfGvff7Nu7Wrm491VySfMpFIn6nbUicD+BPh0zJX7jQ6Rh1xhmZ22Y7ZSxAfvHF0kknSd/5jvTSS04G0Mc/Ls2Y0XrMffS4M/S3yTP1hSUP6H1vLfN3LF62TJo6VVq+XLrvPmebboYPl04+2Qn8JOB1fL3zssk6t9chZ4GPwM/chXVqamkbfQmUGM1dWJfwc0PaxfKjtKerV15l/Pj5tsFvVDadFMI3+zt/7JlvPK/Gsq4Khv/4s2eOd00PczsRZyp6nc00ZQCJZfLbn2ylM7f3GJGrufRux8irfvu8Fq/d2fr7tDH99NfPvFeS93mha1lJ61TdaPn+wa7Tif7wN5F6G51Vovd4vExkT2c6A7uj5GL6S/z5rtna1ucq0X6TnoMi7/1NmyQNVb/9u7WzndO8JOc5Wrphp/7+wiY1W6tSY9QtUKJ9h9o2IeB8gHhuWWodMiV/4UJp+nSpR4+U75r3heqNkaqrpXPOcVrVl5dLP/qRpNhj8W1nf0Ynhl7X3Y/dqasqRmv0nAXej+fvf5c++UmntfrixdKUKYnHcPHF0o03Ol3TPKZrJTy+/mWRs5KPwI/X62J/U4v2h2/z+tyQdrH8KO05ruVVxo+fjJlUorJ+vmEqjSo58OYA54990pbX9Va/itZ2bvcv3eg6Xq/lmZCvdUFQPEo8ym14Le9MMv3tTyrfdvuV7BhRnqDdY3kwkHY2YqbFfyCUpMVrd+qq3z4vyfu88KHJQ1y3l4lvU+CPr2MIGT+dXrL3eLxMZE9nMgO7o6VyvvA6zic6/sdL93yX9Dp1yBDnA+HmzSoxTsZPfVxHr3SuN2pqQ3pwWai1K1yztWp0CfpInA8QyytLzatmSsYCh5s3S6++mtY0r4IpVP/+9ztBnz17nE5f/ftLij0WHwx0001XfEtlLc368V+/o+4H97d9PNZKt98ufeQj0nve42QQJQv6SM50MEmaN897naYmVVV/TYuP3dP2+Lphg/Nz+PCku/L7unA7jmbic3x7jmt5lfEjJc+YyXRAJDpTa3OfQU6mz+GDWtt/mCLfTcZfsCjJ8kygUDSy7b1H93N9Db/36H45GE1+KYTAa7JjxC0XTvQsZNeja1nefADyc3x1Oy94fSjJxLcp8MfXMWToUOenj8APde2KUzrXUJnIns6X+iHZdMuFEzX7/hUx0w4CJUa3XOg/uy7d813S69RAQDrqKG1YUafA8aeq//5d2txncMy66VxvuAWqWjzW5XyAaF5Bzq5lJQoGSrOXIfjEE87PNNq4F1Sh+j/+UXrySSdoE7efyDanVS/SFy+6UX+8/xbd/diP9NkPf1ONTeFiz1OGSt/8pnTHHdLVV0u/+50zPc6PsWOdwFN1tZMpNGBA23V+8QtnylhDg3TRRbG3bdzoZBcFvbtNRp6nPsGASkuMml2me8WLP45mosZPe45reZXx40em521H/8mczl7Ot5Nr+w1La3uZ0inbHKJDrdqyJ6XlnUkh1IdIdoxIdOIONTQWfL2wQgjOFTtfx5AuXaTBg5MGfqhrh2iZqrFW7KoqKzT30skxmU1zL52ccrfFVJZH+LlOre83SJtWvqmDh1vUt3G3dnSPLfCezvVGKh+aOB9kR6G+P71eD7sam7KbIbhwofMlyPHHp3zXjihUn7GM9OHDpU98ImEHzy0NjXp29Im67ezP6Jw1L+r//vsnZ3n9fumGG5ygz7XXSvfc4z/oE/GTnziNJL75zba3vf2203q+pER65hmn0Ha0jRs9p3nFX580NDb5CvpIbY+jqdQo89KewFHeZfwkk+15228OGKFJ76zV2v65DfzkW5tDFB+3+iiJlncmhVAfws8xotSY1nT4eBnvWNHByIrMPd/HkGHDkgZ+qGuHiA7psFNEstVtMdn5zs85aIV6a+iuDZK1rlO90rneSHRei8f5IPPc3p/XzVuuWx9dpZsvmJjX79FE1w1ZyxBcuVJ6/HFnKlKCgIiXYrvWiTyeP5/4IY3bsUmfe3G+1vYfpvdse0ta+pj+eNIF+t2oyzR7xdbU/x4TJ0pf+Yrs3Xfr04EpWtRzxJHj0t3fkBob9coNN+uEuTfr6o/fqbcqTztyzNqwwbMOodv1iR9ux1G342aqgZz2VOQouMBPtgMia/o7c/tyHfiROkeaMpCPCiXwmuwYkejiuNA/VBdCcA5hw4Y5rV0TIIMLEQQBO1Z7znfJzkHrupXrxD3L1ONQo7o2H9bOYPuLO/sN+nA+yA6vD8H1+5vyPkDb4dcNTzwhXXKJ1KuXU3g4DcV2rRP9eG49+1qN3hnS3H/9VJL0q1MuVvUZH5d2HUj7tfTYh6/VKb+5R1+ef7cWXf0jhRoadd9P/qGqP/9Zb3zii7qm5AQtKS3T9HUv69nRlc5+rFXVxo3SBz7gus10r0O8ssbij5vTqhelFPxpRzf3wgv8SNkNiNRMPFO9D+5T3QD3iuAAOodiCLwm+2Y0Hz5U9+0ecG093Nej2GJEoQTnICfw89//Jlyl2L7VxBGpvscJAna8bJ3v9g8aot6H9mvErrclSfUZ6OrldV4zco4XnA+yK9H7MF8DtNH1Wcq7B9S1rES7Gpuy+zr57W+lz3/eySJZsOBIo4MUFdu1Tvzjuf2aW3XbX27W08Mn65enXtqaFZXua+mOxVt08pmf0F0LfqxLVj6pB48/W9/81y/1Tp+B+vyoD6h+v/TSsImavr62dT+/fuglVe3f7znVy+v6xMg7CFMRziJzU1Mb0i2PrGrNeOzRpVSBEuPaIj7TCjLw41c6hSK39B6k6jM/EbMsGChRY1Pb0nHBQMGVSAKQA7kqWpvsm9F8+FB9/glDdO+Sth0Szz/BvWtXtKUbdurtXQdkJb2964CWbthZsBdDRW3YMKeY4t69Us+erqsU27eaOCLV93hnDwIWU5Hzk6efIP1LOvbddZKU1YyfyHmA80F2JZuakm8B2vipafX7mxQMlOquy6e0eX2k9d47dMjpZBVhrXTnnU6R4ZkznWLCvdv3ui+GLyKjxT+e0QfLXAMo6byWtjQ06qGJZ+kjyx/XnKfv0aC99Zr47lv60oU36q39zjrPjq7UTU/fo4F7d2pbz34q3RQ+P3kEfryuTy4+qUKPrdjaZspqomuXmtpQm4L8+w41q7TEqDwY8DX9NdkXo4kUbeQik4Uiu3kUYfJaDgAR+Vq0Nl8+VHt1J0jWteBbNSt175KNMS19712yUd+qWZnxMaKdIt90hrxf84XcfhuJpfoe78zNLfL1fJGu95x+giTpuHfekqQ2NX4yjfNB9iUrTpvJAG0mikjf8sgqz6mj8ftK+b23Y4c0bpzTQSryb+BAJ+hz7bXSo4+2O+jTGWSyocrQ8qBkjG4+53MqP7BXs5/9ixaPPEG1p57Tur1nRp8oSXrfOifrZ9zBeufOI91n+3hdn9xeNUnLbz5Xd18+xfe1y9yFda6ZPc0tVj26lvkK6gzomWLR6yhFm/GTyTniDS4pyomWA0BEvtaryJcP1elO6/j7C5s8l99eNand40IGRQI/mzdL470/vBfbt5pwpPoeL7apDanI1/NF2sLv/eMiGT8ZmOqVCs4HmRd5HUZPVYnIZIA2E0Xea2pDnhkU8ceftN57t93mnNd+8IPYNuDDhzvtwtMo5twZZTLjN7Kt1wYfrT+feL4+svxfuuO8L2j2eROc2x9YodcHjtK2HuWavv5lPTjpbPXb7kxF9cr4kRJfn6Ry7ZLo2tZvnZ83393naz03RRv4yeQc8c6edgwgfbmsV+FVC6HUmLz5EJHu8dUr3d9v4U90oOFO04Rknb1QnNJ5j3fWIGDR1TcaOlSSdNy7mcv4SaWrF+eD7Ii8P7M5LTETQdD4rJ5o8ceflN97b7wh/fKX0mc+I/3f//kaT3sV0zTQaJkO9nctK1FjU7NuO/szunfGVfrylafHBiybrZ4dVan3rXtZxrZo8K53dSDQVd0GDEhpP15/j0R/p0RTJRPVDMqUog38ZDJYc9aEga7z08+aMDCtsQHoPHIZOD716L5avHan6/J8wfG1E6gIX7wlCfwU60VtZ8d73L+i+6Kxa1cd6DdA5Tu367Ap0e6uPdq9Sa/zGjpexgO0LS1OlowxGQmCJlo3Ppsk5ffe//2f1K2bdOutvsfTHpnIgMpnmXgtxT9H1pRoS5c+MevsCmeAPTP6RM1a9ZSOe+ctVex+V6FeAzUmhQwtr7/H0g079eCykOffyet8KGU/6CMVcY2fTM4RT7cGBQDksl7Fa1v3pLQ8Fzi+dgLdujm1DxIEfoqttgmO4D3uX7HVN6qpDWltl3JJ4Y5eGZj6kk/nr86mpjakytue0Kg5C1r/Vd72RGaO0zt3Ol8S3HmnpMzUffFat2/3QJsgg9d776wJA9vWGXr6aenhh6VvfEMaPNj3eNojUQZUvslEbaZ0+HmOIq+JxSOnSJLet75WFbu3aUe/1P6OXvv6+wubPMdQUxvSg8vaPhc9unRczeCiDfxkslCkV0qW37l4ADqvXBatdWuhnGh5LqR7fK3wuKDzWo4cGzYsYeCnkC5qkRquofwrtiLncxfWaUvP/pIy09FLSu38xfkgc2pqQ5r9wIo2z3/9/ibNfmBF+z/cV1dLb7/t1MvZvz8jQVCvbdx8wcQ267q99y4+qUIPLgvFfCHxjQdXqOHzX3bqwVx3XRoPND2FMg00l1/ieJ1Top+jyGtiW8++em3QaE1fV6uKPds06PhxKe3L63n3ml66paHR9TpHksq7d+mwY1XRTvWSMpeCmKhOBgAk01nrVfiR7vGV6SMFJkngp1AuapE6rqFSU0zniy0Njdray6mbke2OXm44H2TO3IV1amq2GrRnh04Krda/JpzeeltTs21fAfJNm6Sf/lQ66SRp2TLpD39Q1Ze+1LrfdKf/utWOOWvCQM1dWKfr5y1vs83499606kVtPqh/oPZJlb/+qvTXv8YWdM6yfJkGmmxKdq4K1NfUhjxr5EQ/R9GviWdHVeqTyx5RoPmwBp54XEr7S1Srx2v9RNc5d10+RdfNW57SGNJR1IGfTKGIKABkR7rHV6aPFJhhw6QlSzxvzpeLWmQe11Cd19DyoN7u5WT87OjeJ8namcf5IHMiH1o/uewRffrFh3TK8OO1o0d5m9vTcvPNkrXSgw9KV10l/ehH0mc/m5EgaPQ2EtbJGdFNuu8+6d13pe3bpR079P0lddrRvY/e6leht/oN08byo/T1Z/6sFUPGafIVV7RrXKnKZOerdPmpM5SrL3HmLqzzrJET/xy1vibeY6X3z3cWJujo5bXN+L+Hl8jfae7COs/rnKrKCt366KqsZ+QX7VSvTPL6VopvqwCgfdI9vpIhUmCGDXMupg8ccL252Gqb4AiuoTqv2TPHa0f5IEm5yfjhfJA5kSD8/Ilnqcy26MLV/425vcSY9Gq6rFol/elP0pe+JI0cKd14o7RhgzRvXnoDbWqSQiHp4ME2N3llo/zksZXSBz4gfeEL0i23SPfeK734ogYd2qdTNr6qrz97r375cLUe+9N1GrJ3h3514Relko79CJ0P00BTqaETL9tf4qT1Xp827UjWVoqBn/i/R6LzXOTvlOw6x20KYqaR8eMD31YBQHake3wlQ6TADBvm/AyFpDFj2tyc6XauyB9cQ3VeVZUVGvChk6VHMlfjJxWcDzJn9szxmv3ACr0xcJRWDh6jD696Sn+celHr7ZH3c8rdpr7xDalnT+enJJ1/vjRxolPr56qrkhcEf/FF6bvfdaYSb9kibdvmZA8FAtIJJ0hTpzr/zjjDMzhw7YN3Sytekv7xD2nWLOe+kurCGS7at09H14d09I7NUteumvnZS5I/rizI9TRQP1+45SozKdHUK89pZt26SWecIT3+eMqBHyn27zFqzgLXdZqtjZlKGBlPrq5zCPz4UOHxYqJoHAC0T7rH13xIe0YKIoGf00+XunZ1XaUq/E/33COdeWZHjAodgGuozu30syolSQ0dHPjhfJBZkQ+ntz66SvOPn6Gb//Nbjdu2QWsHjVRLXAzXd02X556THnlE+v73pf7OlECVlDhZPx/7mPTPfzqBIC/19U6gpqlJOvlk59/QodKgQU7W0NKlTjDn17+WSkt1/XnX6scTPxgTTLpsxRO6csVCac4c6fLLXR/z3IV1eq1LNzWMP75TfyHh5wu3XAU3Zs8c71kjJ2E20Ec+4mSdDR/erv37rWXnFbyLTKPLNgI/PvABAwCyI93jaz58c4IUnHaa9OUvS7t3J1+3X7/sjwcdhmuoTm7MGP3gjGv0WFQx4GypCBdQ5XyQHa0fWt+dIg39g/49cKNG25Gu6yademOtE+AZMkT66ldjb7viCulb33I6fSUK/Hz5y9I77zj14046yX2dlhZp7Vrpxhv1lYf+n45ev1qzz/2SGrt006Stb+q7//5/eveU6Rp0++2JHzN8H8tz8ZxVVVbolkdWqaGxbY2chJl/V1/t/Gun9ma2enX8yrROH/jx800UHzAAFKJC+Ka9PcdXLsgKSDDodG1Bp8M1VCdnjP7fqZdmbHOJzmuL58zI2H6QwKBBTk2ce+/VsC+crU27D7VZJek0u0cflf73Pycbp3v32NsCAemGG5yA0OLFTi2WePff73TWuu0276CP5GQQjRvnFI7+wQ90/je/qQk7Nmj2OV/S/3v0B2oeOEiDHpsvlZZ6bwOS8v9YfsuFEzvkSwa3zmZ+r7e9uqJ1VD2yvAv8JGsTl2n5HL0EgIh0jo2F8k07x1eguPEeR6bMnjles+9foaao+UWBEpN357Wi97GPSY89pup+O/TpxvLUrjOsdaZ3HX209MlPuq/zqU85QZ3vfteZDtaly5Hbtm6VPvc5Z2rXTTf5G68x0pw5MieeqLFXXqmH/nKDM+34389JAwb42wby+ljeEYEpr85mF59UoQeXhVzfB5Hr91BDY0zL+eh6WKm2h09XXgV+/LSJyzS/L5KODkgBQES6x8Z8/3YmguMrUNx4jyOj4uv90iCuQ9XUhvST13vp4a49tPs3f9DF37lTT72+zf/7+7nnpBdekH7xC6msLGa70ceJX1/1WR3/0+9L48dL3/62MyWnrEz69Kel/fulP/855v6+nHuutGyZM03sqqucws8e++c4VXiyHZjy6mz21OvbdMesSW1eP5Jirt/jJ35F6mGl0h6+PfIq8JOoTVw2/4jJXiS5CEgBQER7jo35/O2MxPEVKHa8x5FJcxfWqak59uNTU7PN+mcFOKLfz49NmK6qV5/St55fo29fcXLs82+td0euuXOdLJuPf9x1u5JznLi01+n6/c/+otP+/FMnA+j735dmzHCKPv/0p05AKB2jRjlTzTweV2T/HKcQL1FnM7fr7WnVi5IGcyL3lWK/qPXKAGpPnLukHffNOD9t4nIh0YcuAMi2fD02ZgLHV6C48R5HJhXz+bAQRL+fHzx+hro3HdQZq5498n7eulX68Iel0aOd/8dbvdoJunzxizG1fVyPE4dbNHvvUCc76JFHpF69pN/+Vnr/+537Z+lxte6f4xTieNWu8lru57gUuW9VZYUWz5mhddXnJ6xX5q9ctLu8Cvyk+mR2FE4yAHIpX4+NmcDxFShuvMeRScV8PiwE0e/bZRXHakP5UZr16iJtqQ9PvTruOOnxx51uW1df7XTVinbnnVK3bm0CNwmPE8ZIF1zgTNF66imnsHNJZj/CcpyCH7NnjlcwEFsIPFFNq2THpY6uu5lXgZ9Un8yOwkkGQC7l67ExEzi+AsWN9zgyqZjPh4Ug5n1rjOZPnKHTNryiefNvka65Rpo4UVqxQvrZz6T//MeZ1hWxdav0l79In/iENHCg93a9lpeUSGeeKZWXZ+zxSM40rxKPaWkcpxCtqrJCd8yapIryoIycrl13zJrkOR3Q7XgVeaUlu2825FWNn3wtRFoonXEAFKd8PTZmAsdXoLjxHkcmFfP5sBDEv5/nHz9D1y/+m07cvEq66y6naHJpqWr2dlevSWfqfd/4pr6woafO/0yVqu7/hdTUJH3ta0m3K3XMcSJS26fZtp1Aw3HKn85WFDuV2pn5drzKq8CPlJ+FSPPtjwag88nHY2MmcHwFihvvcWRasZ4PC0H8+7ll1Gj97+f36rQPvNdpz65wMOWhVxWY8Tn9c8Nr+vbfvqurA330wT/+Ul1mzZLGjk263Y46TrjV9pGkUmM6PBujEFEUO7l0j1fdAyXa39TiujxdeRf4yVecZAAgOzi+AsWN9zhQPJK9nyPBlMZuPfWVC2brvr/dqHl/+Kq67N0lzZ6d9nazwauGT4u1HLN8yFVH7mIWyaByC/pIUpeyUtflfuRVjR8AAAAAQGGKDqa8POxY3XX6VTpq7069OGyidMopORxZW5mqQVZTG9K06kUaPWeBplUvUk1tKBPDy3sUxc6sSAaVVyt3SWpobEp7+0kDP8aYPxhj3jXGvBq1rJ8x5t/GmDfDP/umPQIA8IFjEYB8wfEIQD7Ix2NRfNDk/516iX40/aP61rmfz7ugSCaKhUd/WLc6Mt0pnx5ntlC83x+/gUGvqYfRStzrkPviJ+PnHknnxS2bI+k/1tpxkv4T/h0AsukecSwCkB/uEccjALl3j/LsWBQfTGkpKdXPT7tCbwwclXdBkVS7NLlJNN2p2NFlL7lUAoN+MqVa2tYh9y1pjR9r7TPGmFFxiy+SdGb4/3+S9LSkG9MfBgAkxrEIQL7geAQgH+TjsSi6ULPblJV8qwHT3tpCnXm6E8X7k0ulDtLQ8mDCaV7tlW5x58HW2q3h/78taXCGxgMAqeBYBCBfcDwCkA9yfiyKBFNGz1kgtwSFbH647WheH9Y7y3QnivcnlkpgcPbM8bpu3vKE2ysPBtIeS7uLO1trreT6npYkGWOuNcYsNcYs3bZtW3t3BwCuOBYByBeJjkcciwB0lFwfi7yCH0ZKe7pXvhVSZroTEkmlDlJVZUXSwM6HJg9JeyzpBn7eMcYMkaTwz3e9VrTW/sZaO9VaO3XgwIFp7g4AXHEsApAvfB2POBYByLK8ORbNnjlebrVorZRWDZx8LKSciTpBKF6pBgZvuXBim/WjPfV6+kHadAM/j0i6Jvz/ayQ9nPYIACB9HIsA5AuORwDyQd4ci6oqKzxTsdOpgZOvhZSrKiu0eM4Mras+X4vnzCDog1apBgYj63tpT+2opDV+jDF/l1MgbIAxZrOkmyVVS7rPGPMpSRskXZb2CADAB45FAPIFxyMA+aAQjkUVGayB05kLKaNwpVoHqaqywrM4entqR/np6nWlx01np71XADnXPVCi/U0trsvzEcciIL8U2jEkkzgeAf515mNFtuX6WFRTG4rp6HTWhIF66vVtMR2eZs8cr5vmr4zJ1Em3Bk5nL6TcWcW/zjpD57BMvm8iOOICnVRFX/eTpNdyAIjGMQSAHxwripNbvZ17l2xsU39HUsZq4FBIufPJx7pOHSEbtaPSbecOoMC9+e6+lJYDQDSOIQD84FhRnNzq7cSL1N9Jte6NV4ZHZBvxWUZzF9bp+nnLO002SGeSqK5Tpv7O+ZZRFD+euy6fkpHxEPgBAAAAAPjmNuXKTar1dyIZHpEP+9GZQ5HgT+RDcLJ1UfiyXdcp315DbuO5bt5y3froKt18wUQyftor36J8AAB0NpyLgeJT7NMxOqua2pCM5NmxK1qq9XdSyfDoiGwQ5FYm6zq5XWfk22vIK5Oufn9TuwNSnb7GT2edNwgAQL7gXAwUn8j7GsVn7sI6X0GfdOrvpJLhQZev4pepuk5e1xlemWu5eg0l2m8kIJWuTh/4SRTlAwAA2ce5GCg+fmrAoDAl+nDa3mK0XpkcbstTWReFKVNFjr2uM0qNcV0/V6+hZPttT0Cq00/1IlIMAEBucS4Gig/v3+LlNf2mojyoxXNmSDoyrSbVosuptLHORstr5J/ouk7p8joeNVurYKA0b15Dbq/paO0JSHX6jB8ixeispo3pl9JyAIiWyWMI52Kg+CR7/3K9UbiSTb9pz/TdVDI8stHyGsXJ63gUec3ky2so8pouDwba3BYoNe0KSHX6jB8ixeisXtu6J6XlABAtk8cQzsVA8Un2zTXXG4XLra16dEaP17Sa6+Yt19yFdUmzf1LJ8MhENgiKX6LrjHx7DUXGct285THLm5r9VNby1ukDP1WVFVq6Yaf+/sImNVurUmN08Un59ccHsqF+f1NKywEgWiaPIZyLgeITeV/fu2Sj6+1cbxS2RB+WE03zy2W7bLpHdl7JgpWJ5OJ18435r3guT3ffnT7wU1Mb0oPLQmq2TgSt2Vo9uCykqSP7cSAAAKADcC4Gik/kfY3Ox6sGUEQu2mVHpp9FMj5yGYBCbqST2ZOr183+ppaUlvvR6Wv80EkEAIDc4lwMFB+6enVebjWA4nV08W/OM0hHMb1uOn3GD51EAADILc7FQPHh/dt5RU+r8cr86eji/ZxnkI5cvW6MkaxLSR+P7vO+dPqMHzqJoLPqUup+5PBaDgDRMnkM4VwMFJ9k71+uN4pbVWWFFs+Zobsvn5KwA1hH4TyDVNTUhjStepG8yiln+3Vz1SkjUlruR6cP/CRrRwgUq8veMzyl5QAQLZPHEM7FQPFJNt2H643OIV9arnOegV+Ruj5e2Wod8bq5vWqSPnrqCJWGU3xKjdFHTx2h26smpb3NTj/Vqz0VvoFC9tTr21JaDgDRMnkM4VwMFJ/I+/eG+1a0Fm6PxvVG55EP7bI5z8CvRPXJKjrwdXN71aR2BXridfrAj5QfByOgozHXGUB7ZPoYwrkYKD5VlRW6ft5y19u43kBH4zwDP7yOTUbS4jkzOnYwGdTpp3oBnRVznQG0B8cQAH5wrABQSPLlmBWpMzR6zgJNq16kmtpQu7ZH4AfopM6aMDCl5QAQjWMIAD84VgAoJPlQDyq6zpCVFGpo1E3zV7Yr+EPgB+ikqPEDoD04hgDwg2MFgEKSDwXJ3eoMNTY1a+7CurS3SY0foJOixg+A9uAYAsAPjhUACk2u60Fl47hJxg/QSeXL/FUAhYljCAA/OFYAgDuvOj7ZOG4S+AE6qVH93Q8cXssBIBrHEAB+cKwAgLYS1fHJRm00pnoBndSSt+pTWg4A0TiGAPCDYwUAtJVOHZ/21EYj8AN0Us3WprQcAKJxDAHgB8cKAGgrnTo+1PgBkLJSY1JaDgDROIYA8INjBQC0laiODzV+AGTMlacMT2k5AETjGALAD44VANDW7JnjFQyUxiwLBko1e+b4hLeli6leQCd1e9UkSdLfX9ikZmtVaoyuPGV463IASIRjCAA/OFYAQFuRdvFzF9ZpS0OjhpYHNXvm+Jg28oluS5WxHTi/durUqXbp0qUdtj8AmWeMWWatnZrrcbQHxyKgOBT68YhjEVAcOBYByAeJjkVM9QIAAAAAAChSBH4AAAAAAACKFIEfAAAAAACAIkXgBwAAAAAAoEgR+AEAAAAAAChSBH4AAAAAAACKFIEfAAAAAACAImWstR23M2O2SdonaXuH7TTzBojx5xLjz60BknpYawfmeiDtET4WbWjHJgrp71goY2WcmdVZxjmykI9HGTgWdbRCeV25Yey50VnG3pmORYX8N/WjmB9fMT82iccnJTgWdWjgR5KMMUuttVM7dKcZxPhzi/HnVqGPP1MK6XkolLEyzsxinMiGQv57MfbcYOzFp9ifl2J+fMX82CQeXzJM9QIAAAAAAChSBH4AAAAAAACKVC4CP7/JwT4zifHnFuPPrUIff6YU0vNQKGNlnJnFOJENhfz3Yuy5wdiLT7E/L8X8+Ir5sUk8voQ6vMYPAAAAAAAAOgZTvQAAAAAAAIoUgR8AAAAAAIAi1aGBH2PMecaYOmPMGmPMnI7cdyYYY9YbY1YaY5YbY5bmejzJGGP+YIx51xjzatSyfsaYfxtj3gz/7JvLMSbiMf5bjDGh8N9guTHmg7kcoxdjzHBjzFPGmNeMMauMMV8NLy+I5z/B+Avi+W+vVP9+xvHT8LHtFWPMiR00zm7GmBeNMSvC47w1vHy0MeaF8HjmGWO6hJd3Df++Jnz7qI4YZ9R4S40xtcaYx/J1nG7H+Xz7u4f3XW6MecAY87oxZrUx5r35Nk5jzPioY8VyY8xuY8x1+TZOuDMu5+Co224wxlhjzIBcjC0Zr7EbY74cfs+sMsb8MFfjS8Rt7MaYKcaYJZHjkjHm5FyO0U2q5818kmDsc8Ovl1eMMQ8ZY8pzPNS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\n",
      "text/plain": [
       "<Figure size 1440x1728 with 13 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 设置画布大小\n",
    "plt.figure(figsize=(4 * 5, 4 * 6))\n",
    "\n",
    "# 初始化一个字典，用于存储每个特征的R^2分数\n",
    "best_features = {}\n",
    "\n",
    "# 遍历特征名称列表\n",
    "for i, col in enumerate(feature_names, start=1):\n",
    "    # 提取当前特征的数据\n",
    "    X_train = df[[col]].values\n",
    "\n",
    "    # 创建KNN回归模型\n",
    "    knn = KNeighborsRegressor()\n",
    "    # 使用当前特征数据和目标值进行训练\n",
    "    knn.fit(X_train, target)\n",
    "\n",
    "    # 生成测试数据\n",
    "    X_test = np.linspace(X_train.min(), X_train.max(), num=50).reshape(-1, 1)\n",
    "    # 对测试数据进行预测\n",
    "    y_pred = knn.predict(X_test)\n",
    "    # 计算当前特征的R^2分数\n",
    "    score = knn.score(X_train, target)\n",
    "    # 将当前特征的R^2分数存入字典\n",
    "    best_features[col] = score\n",
    "    \n",
    "    # 创建一个子图\n",
    "    axes = plt.subplot(4, 4, i)\n",
    "    # 绘制预测结果曲线（红色）\n",
    "    axes.plot(X_test, y_pred, c='r')\n",
    "    # 绘制原始数据点（散点图）\n",
    "    axes.scatter(X_train, target)\n",
    "    # 设置子图标题，显示当前特征名称和R^2分数\n",
    "    axes.set_title('feature:{0}\\n$R^2$:{1}'.format(col, score))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "2dafc3ba-79f2-464e-a616-e1f9376d2ab8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'LSTAT': 0.736343943439441,\n",
       " 'RM': 0.68720146093704,\n",
       " 'NOX': 0.6053368430898095,\n",
       " 'CRIM': 0.4385293161080902,\n",
       " 'DIS': 0.34668019010404905,\n",
       " 'INDUS': 0.32019966343360484,\n",
       " 'AGE': 0.27870178580218674,\n",
       " 'B': 0.23771654625858119,\n",
       " 'PTRATIO': 0.20304152620805538,\n",
       " 'TAX': 0.20067044044286997,\n",
       " 'RAD': -0.03575601699868347,\n",
       " 'ZN': -0.38720580107151603,\n",
       " 'CHAS': -0.7502382562349224}"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 对字典best_features进行排序，按照值降序排列\n",
    "dict(sorted(best_features.items(), key=lambda x: x[1], reverse=True))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0ee06c8-60f2-4c62-87ce-d6fdd980e1fb",
   "metadata": {},
   "source": [
    "特征筛选出对房价影响较大的几个特征：LSTAT、RM、NOX、CRIM、DIS、INDUS、AGE、B、PTRATIO"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e66896a-d7b5-40ab-a0d2-cf908bf9acb7",
   "metadata": {},
   "source": [
    "## 基于KNN模型（采用筛选的特征+归一化）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "00aa65b1-4411-4ee5-8d6a-ccf77f978284",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 从数据中提取指定的列，并将其转换为numpy数组\n",
    "data = df[['LSTAT', 'RM', 'NOX', 'CRIM', 'DIS', 'INDUS', 'AGE', 'B', 'PTRATIO']].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "05863aa4-aa54-4cfe-af02-f38d8359a04f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  4.98 ,   6.575,   0.538, ...,  65.2  , 396.9  ,  15.3  ],\n",
       "       [  9.14 ,   6.421,   0.469, ...,  78.9  , 396.9  ,  17.8  ],\n",
       "       [  4.03 ,   7.185,   0.469, ...,  61.1  , 392.83 ,  17.8  ],\n",
       "       ...,\n",
       "       [  5.64 ,   6.976,   0.573, ...,  91.   , 396.9  ,  21.   ],\n",
       "       [  6.48 ,   6.794,   0.573, ...,  89.3  , 393.45 ,  21.   ],\n",
       "       [  7.88 ,   6.03 ,   0.573, ...,  80.8  , 396.9  ,  21.   ]])"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "152cf6bb-f9eb-433f-ac49-1d9697f941e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 将数据集划分为训练集和测试集，其中测试集的大小为46，随机种子为10\n",
    "X_train, X_test, y_train, y_test = train_test_split(data, target, test_size=46, random_state=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "b59b63af-261c-4cd0-bf88-a38f8c6d8bb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(460, 9)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(46, 9)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "f49065fc-908e-47d8-8754-37b3a689578b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 创建一个最小最大值归一化缩放器对象\n",
    "scaler = MinMaxScaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "151d7e82-56ff-4232-947d-362e630b0d1d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用训练集对缩放器进行拟合，并对训练集进行缩放\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "# 使用训练集对缩放器进行拟合，并对测试集进行缩放\n",
    "X_test_scaled = scaler.fit_transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "7c50f8aa-cd03-439b-9008-196014bceadd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 创建一个K近邻回归器对象\n",
    "knn = KNeighborsRegressor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "bc29f41d-b41e-4249-91c4-348637b9bbc6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-11 {color: black;}#sk-container-id-11 pre{padding: 0;}#sk-container-id-11 div.sk-toggleable {background-color: white;}#sk-container-id-11 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-11 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-11 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-11 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-11 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-11 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-11 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-11 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-11 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-11 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-11 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-11 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-11 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-11 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-11 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-11 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-11 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-11 div.sk-item {position: relative;z-index: 1;}#sk-container-id-11 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-11 div.sk-item::before, #sk-container-id-11 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-11 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-11 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-11 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-11 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-11 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-11 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-11 div.sk-label-container {text-align: center;}#sk-container-id-11 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-11 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-11\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KNeighborsRegressor()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-11\" type=\"checkbox\" checked><label for=\"sk-estimator-id-11\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">KNeighborsRegressor</label><div class=\"sk-toggleable__content\"><pre>KNeighborsRegressor()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "KNeighborsRegressor()"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 使用缩放后的训练集和对应的目标值对K近邻回归器进行拟合\n",
    "knn.fit(X_train_scaled, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "901a19eb-84fa-41d1-9dcc-67bbbb6071ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用缩放后的测试集进行预测\n",
    "y_pred = knn.predict(X_test_scaled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "206cb818-0d97-44d6-9e31-aa59b80777cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7523940740213143"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 计算K近邻回归器在缩放后的测试集上的得分\n",
    "knn.score(X_test_scaled, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "c8fb279b-ca62-4a05-a1d9-a72cef76f0b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x29691eb7340>]"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 创建一个图形对象，设置图形的大小\n",
    "plt.figure(figsize=(2*5, 1*4))\n",
    "\n",
    "# 创建一个子图对象，用于绘制真实值和预测值的对比图\n",
    "axes1 = plt.subplot(1, 2, 1)\n",
    "# 绘制真实值曲线，标记为'True'\n",
    "axes1.plot(np.linspace(1, 46, num=46), y_test, marker='*', markersize=6, label='True')\n",
    "# 绘制预测值曲线，标记为'Pred'\n",
    "axes1.plot(np.linspace(1, 46, num=46), y_pred, marker='o', markersize=6, label='Pred')\n",
    "# 显示图例\n",
    "axes1.legend()\n",
    "\n",
    "# 创建一个子图对象，用于绘制预测值与真实值的散点图\n",
    "axes2 = plt.subplot(1, 2, 2)\n",
    "# 绘制散点图\n",
    "axes2.scatter(y_pred, y_test)\n",
    "# 绘制对角线\n",
    "axes2.plot(np.linspace(5, 45, 10), np.linspace(5, 45, 10), c='r')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "23d35237-60bb-482f-9b00-dad1e0b67213",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
